diff --git a/.copier-answers.yml b/.copier-answers.yml new file mode 100644 index 0000000..465b094 --- /dev/null +++ b/.copier-answers.yml @@ -0,0 +1,13 @@ +# Changes here will be overwritten by Copier +# !!!!! DO NOT MANUALLY MODIFY THIS FILE !!!!! +_commit: latest +_src_path: https://github.com/modelblocks-org/data-module-template.git +author_email: j.a.c.launer@tudelft.nl +author_family_name: Launer +author_given_name: Jann +github_org: modelblocks-org +license: Apache-2.0 +module_description: This module prepares electricity demand timeseries for Europe + at arbitrary resolution +module_long_name: Data module for electricity demand in Europe +module_short_name: module_demand_electricity diff --git a/.editorconfig b/.editorconfig new file mode 100644 index 0000000..cd10f17 --- /dev/null +++ b/.editorconfig @@ -0,0 +1,22 @@ +# Documentation: https://EditorConfig.org +# Inspired by Django .editorconfig file + +root = true + +[*] +indent_style = space +indent_size = 4 +trim_trailing_whitespace = true +end_of_line = lf +insert_final_newline = true +charset = utf-8 + +[*.{yaml,yml,.cff}] +indent_size = 2 + +[*.md] +trim_trailing_whitespace = true +indent_size = 4 + +[*.{diff,patch}] +trim_trailing_whitespace = false diff --git a/.github/ISSUE_TEMPLATE/bug_report.md b/.github/ISSUE_TEMPLATE/bug_report.md new file mode 100644 index 0000000..1b66ddc --- /dev/null +++ b/.github/ISSUE_TEMPLATE/bug_report.md @@ -0,0 +1,31 @@ +--- +name: Bug report +about: Create a report to help us improve +title: '' +labels: bug +assignees: '' + +--- + +**Describe the bug** +A clear and concise description of what the bug is. + +**To Reproduce** +Steps to reproduce the behavior: +1. Go to '...' +2. Click on '....' +3. Scroll down to '....' +4. See error + +**Expected behavior** +A clear and concise description of what you expected to happen. + +**Screenshots** +If applicable, add screenshots to help explain your problem. + +**Desktop (please complete the following information):** + - OS: [e.g. Linux Fedora 43, Windows 11...] + - Version [e.g. v0.1.1] + +**Additional context** +Add any other context about the problem here. diff --git a/.github/ISSUE_TEMPLATE/config.yaml b/.github/ISSUE_TEMPLATE/config.yaml new file mode 100644 index 0000000..28da94d --- /dev/null +++ b/.github/ISSUE_TEMPLATE/config.yaml @@ -0,0 +1,5 @@ +blank_issues_enabled: false +contact_links: + - name: General information + url: https://www.modelblocks.org/ + about: Please consult our website for general information on the Modelblocks methodology. diff --git a/.github/ISSUE_TEMPLATE/feature_request.md b/.github/ISSUE_TEMPLATE/feature_request.md new file mode 100644 index 0000000..11fc491 --- /dev/null +++ b/.github/ISSUE_TEMPLATE/feature_request.md @@ -0,0 +1,20 @@ +--- +name: Feature request +about: Suggest an idea for this project +title: '' +labels: enhancement +assignees: '' + +--- + +**Is your feature request related to a problem? Please describe.** +A clear and concise description of what the problem is. Ex. I'm always frustrated when [...] + +**Describe the solution you'd like** +A clear and concise description of what you want to happen. + +**Describe alternatives you've considered** +A clear and concise description of any alternative solutions or features you've considered. + +**Additional context** +Add any other context or screenshots about the feature request here. diff --git a/.github/pull_request_template.md b/.github/pull_request_template.md new file mode 100644 index 0000000..400a69f --- /dev/null +++ b/.github/pull_request_template.md @@ -0,0 +1,18 @@ +Fixes # + +## Summary of changes in this pull request + +* +* +* + +## Reviewer checklist + +* [ ] There are no `pip` dependencies in the module's environment files (`workflow/envs/`). +* [ ] All rules use `pathvars` (e.g., ``) in their inputs and outputs. +* [ ] The integration test-suite is successful, including: + * [ ] `pre-commit.ci` tests pass. + * [ ] tests pass for all relevant OS configurations (linux, osx, windows). +* [ ] Module documentation is up-to-date, including: + * [ ] `INTERFACE.yaml` mentions all relevant `pathvars` and `wildcards`. + * [ ] `README.md` describes how to use the module and has the necessary citations. diff --git a/.github/workflows/check-version.yml b/.github/workflows/check-version.yml new file mode 100644 index 0000000..7bde778 --- /dev/null +++ b/.github/workflows/check-version.yml @@ -0,0 +1,13 @@ +# Check for changes in the upstream template. If changes are found, an issue is created +name: Template check. +on: + workflow_dispatch: + schedule: + - cron: '0 0 1 * *' # Runs at 00:00 UTC on the 1st day of every month + +jobs: + copier-update: + permissions: + contents: read + issues: write + uses: modelblocks-org/data-module-template/.github/workflows/template-check-version.yml@latest diff --git a/.github/workflows/pr-ci.yml b/.github/workflows/pr-ci.yml new file mode 100644 index 0000000..8028172 --- /dev/null +++ b/.github/workflows/pr-ci.yml @@ -0,0 +1,43 @@ +# !!!!! DO NOT MODIFY UNLESS ABSOLUTELY NECESSARY !!!!! +# This workflow helps standardise integration tests across data modules +name: Pull Request CI tests for Modelblocks data modules +on: + pull_request: + branches: + - "main" +jobs: + build: + name: Build + runs-on: ${{ matrix.os }} + strategy: + fail-fast: false + matrix: + os: [ubuntu-latest, windows-latest, macos-latest] + python-version: ["3.12"] + steps: + - uses: actions/checkout@v4 + - name: Setup pixi + uses: prefix-dev/setup-pixi@v0.8.3 + - name: Run integration tests + env: # Set the secret as an environment variable + TOKEN_ENTSOE: ${{ secrets.TOKEN_ENTSOE }} + id: tests + run: pixi run test-integration + continue-on-error: true + - name: Run snakemake linting + id: linting + run: | + pixi run snakemake --lint --snakefile workflow/Snakefile + pixi run snakemake --lint --snakefile tests/integration/Snakefile + continue-on-error: true + - name: Save integration logs + if: ${{ always() }} + uses: actions/upload-artifact@v4 + with: + name: integration-test-logs-${{ matrix.os }} + path: tests/integration/resources/module/logs + if-no-files-found: ignore + retention-days: 30 + - name: Fail if integration or linting failed + if: ${{ steps.tests.outcome == 'failure' || steps.linting.outcome == 'failure' }} + run: exit 1 diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml new file mode 100644 index 0000000..7e25226 --- /dev/null +++ b/.github/workflows/release.yml @@ -0,0 +1,11 @@ +name: Release + +on: + release: + types: [released] + +jobs: + release-workflow: + permissions: + contents: write + uses: modelblocks-org/data-module-template/.github/workflows/template-release.yml@latest diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..f03928b --- /dev/null +++ b/.gitignore @@ -0,0 +1,29 @@ +### OS-specific +.DS_Store + +### Editors +*~ +\#*\# +**/.vscode +.$* + +### Byte-compiled files +__pycache__ +*.pyc + +### Environments +.pixi/ + +### Snakemake +.snakemake/ +gurobi.log + +### Notebooks +.ipynb_checkpoints + +# Ignore mutable folders +**/logs/* +**/resources/* +**/results/* +**/temp/* +**/tmp/* diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml new file mode 100644 index 0000000..fc3d718 --- /dev/null +++ b/.pre-commit-config.yaml @@ -0,0 +1,48 @@ +default_language_version: + python: python3 + +repos: + # Generic 'file quality' testing + - repo: https://github.com/pre-commit/pre-commit-hooks + rev: v5.0.0 + hooks: + # Machine-friendliness + - id: trailing-whitespace + - id: end-of-file-fixer + # Repo quality + - id: check-added-large-files + args: [--enforce-all] + exclude: ^pixi\.lock$ + - id: forbid-submodules + - id: check-case-conflict + - id: check-illegal-windows-names + - id: check-merge-conflict + - id: debug-statements + # Detect config. file issues + - id: check-json + - id: check-yaml + args: [--unsafe] + + # Python file formatting + - repo: https://github.com/astral-sh/ruff-pre-commit + rev: v0.9.6 + hooks: + - id: ruff + args: [--fix, --exit-non-zero-on-fix] + - id: ruff-format + + # Snakemake file formatting + - repo: https://github.com/snakemake/snakefmt + rev: v1.0.0 + hooks: + - id: snakefmt + + # Spelling + - repo: https://github.com/codespell-project/codespell + rev: v2.4.1 + hooks: + - id: codespell + files: .*\.(py|smk|md)$|^Snakefile$ + +ci: # https://pre-commit.ci/ + autoupdate_schedule: quarterly diff --git a/.snakemake-workflow-catalog.yml b/.snakemake-workflow-catalog.yml new file mode 100644 index 0000000..2ef485a --- /dev/null +++ b/.snakemake-workflow-catalog.yml @@ -0,0 +1,5 @@ +# Integration with https://snakemake.github.io/snakemake-workflow-catalog/# +usage: + software-stack-deployment: + conda: true + report: false diff --git a/AUTHORS b/AUTHORS new file mode 100644 index 0000000..61df403 --- /dev/null +++ b/AUTHORS @@ -0,0 +1,7 @@ +This is the list of contributors for copyright purposes. + +This does not necessarily list everyone who has contributed to this software's +code or documentation. For a full contributor list, see: + + +Jann Launer, diff --git a/CITATION.cff b/CITATION.cff new file mode 100644 index 0000000..26761fe --- /dev/null +++ b/CITATION.cff @@ -0,0 +1,11 @@ +# Citation file +# For more information, see: +# https://citation-file-format.github.io/ +cff-version: 1.2.0 +message: If you use this software or data produced by it, please cite it using the metadata from this file. +title: "Modelblocks - module_demand_electricity: Data module for electricity demand in Europe" +repository: "https://github.com/modelblocks-org/module_demand_electricity" +license: Apache 2.0 +authors: + - given-names: Jann + family-names: Launer diff --git a/INTERFACE.yaml b/INTERFACE.yaml new file mode 100644 index 0000000..b3880f0 --- /dev/null +++ b/INTERFACE.yaml @@ -0,0 +1,29 @@ +# Module Input-Output structure for automated doc. generation +pathvars: + snakemake_defaults: + logs: + default: "" + description: location of rule log files. + resources: + default: "" + description: "location of module resource files." + results: + default: "" + description: "location of module results." + + user_resources: + token_entsoe: + default: "/user/token_entsoe.txt" + description: "User token for ENTSO-E API access." + shapes: + default: "/user/{shape}/shapes.parquet" + description: > + Shapes to aggregate the output data to. + IMPORTANT: they must add up to the full spatial extent of the country. + The module's processing requires it. + results: + demand_electricity_MW: + default: "/{shape}/demand_electricity_MW.parquet" + description: Electricity demand profile per custom shape in units of MW. +wildcards: + shape: Name of the custom shape is a wildcard to allow multiple outputs based on different shapes. diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..3946dd7 --- /dev/null +++ b/LICENSE @@ -0,0 +1,201 @@ + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. 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We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + + Copyright 2026 AUTHORS + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. diff --git a/README.md b/README.md new file mode 100644 index 0000000..f642025 --- /dev/null +++ b/README.md @@ -0,0 +1,72 @@ +# Data module for electricity demand in Europe + +This module prepares electricity demand timeseries for Europe at arbitrary resolution + + + + +## About + + +This is a modular `snakemake` workflow created as part of the [Modelblocks project](https://www.modelblocks.org/). It can be imported directly into any `snakemake` workflow. + +For more information, please consult the Modelblocks [documentation](https://modelblocks.readthedocs.io/en/latest/), +the [integration example](./tests/integration/Snakefile), +and the `snakemake` [documentation](https://snakemake.readthedocs.io/en/stable/snakefiles/modularization.html). + +## Overview + + +Data processing steps: + +- Download ENTSO-E historical load profiles. +- Download a gridded population dataset that serves as a disaggregation proxy. +- Filter and clean the raw load profile data. +- Clip the population raster to the ENTSO-E area. +- Disaggregate the national annual load to raster, using population as weight. +- Re-aggregate the annual load raster data to the target shapes. +- Assign the corresponding national load profile to each region to get the final load profiles for the target shapes. + +## Configuration + + +Please consult the configuration [README](./config/README.md) and the [configuration example](./config/config.yaml) for a general overview on the configuration options of this module. + +## Input / output structure + + +Please consult the [interface file](./INTERFACE.yaml) for more information. + +## Development + + +We use [`pixi`](https://pixi.sh/) as our package manager for development. +Once installed, run the following to clone this repository and install all dependencies. + +```shell +git clone git@github.com:modelblocks-org/module_demand_electricity.git +cd module_demand_electricity +pixi install --all +``` + +For testing, simply run: + +```shell +pixi run test-integration +``` + +To test a minimal example of a workflow using this module: + +```shell +pixi shell # activate this project's environment +cd tests/integration/ # navigate to the integration example +snakemake --use-conda --cores 2 # run the workflow! +``` + +## References + + +This module is based on the following research and datasets: + +* +* diff --git a/config/README.md b/config/README.md new file mode 100644 index 0000000..720820c --- /dev/null +++ b/config/README.md @@ -0,0 +1,8 @@ +We recommend consulting the following before using this module: +- `config/config.yaml`: a generic example configuration of this module. +- `workflow/internal/config.schema.yaml`: a schematic overview of all the configuration options of this module. +- `INTERFACE.yaml`: lists module input and output files, and their default locations. +- `tests/integration/Snakefile`: an example of how to call this module from another workflow. + +This data module is part of the [Modelblocks](https://www.modelblocks.org/) project. +Please consult the [Modelblocks documentation](https://modelblocks.readthedocs.io/) for more details. diff --git a/config/config.yaml b/config/config.yaml new file mode 100644 index 0000000..76f5b5b --- /dev/null +++ b/config/config.yaml @@ -0,0 +1,5 @@ +# A minimal example of how to configure this module +temporal_scope: + start: "2017-01-01" + end: "2018-01-01" +use_load: entsoe_api # entsoe_opsd or entsoe_api diff --git a/figures/.gitkeep b/figures/.gitkeep new file mode 100644 index 0000000..dcafcbe --- /dev/null +++ b/figures/.gitkeep @@ -0,0 +1 @@ +# For module documentation figures diff --git a/mypy.ini b/mypy.ini new file mode 100644 index 0000000..6769a42 --- /dev/null +++ b/mypy.ini @@ -0,0 +1,4 @@ +[mypy] +disable_error_code = import-untyped +exclude = (^|/)\.(snakemake|pixi)(/|$) +exclude_gitignore = True diff --git a/pixi.lock b/pixi.lock new file mode 100644 index 0000000..7b146fb --- /dev/null +++ b/pixi.lock @@ -0,0 +1,8079 @@ +version: 7 +platforms: +- name: linux-64 + virtual-packages: + - 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It can use file paths and special github(...) / gitlab(...) markers +# `pathvars:` re-wires the location of user resources, intermediary module files, and module results. +module module_demand_electricity: + pathvars: + shapes="resources/user/{shape}/shapes.parquet", + token_entsoe="resources/user/token_entsoe.txt", + # test the re-routing of resources, results and logs + resources="resources/module/resources", + results="resources/module/results", + logs="resources/module/logs", + snakefile: + "../../workflow/Snakefile" + config: + config["integration_test"] + + +# rename all module rules with a prefix, to avoid naming conflicts. +use rule * from module_demand_electricity as module_demand_electricity_* + + +# Montenegro test case +rule example_montenegro: + default_target: True + input: + "resources/module/results/EUROPE_S_C1_ADM1/demand_electricity_MW.parquet", + message: + "A small test case for Montenegro." diff --git a/tests/integration/test_config.yaml b/tests/integration/test_config.yaml new file mode 100644 index 0000000..26904bf --- /dev/null +++ b/tests/integration/test_config.yaml @@ -0,0 +1,5 @@ +integration_test: + temporal_scope: + start: "2017-01-01" + end: "2017-01-03" + use_load: entsoe_api # entsoe_opsd or entsoe_api diff --git a/tests/integration_test.py b/tests/integration_test.py new file mode 100644 index 0000000..d20c266 --- /dev/null +++ b/tests/integration_test.py @@ -0,0 +1,76 @@ +"""Set of standard Modelblocks tests. + +PLEASE ENSURE THIS SET OF MINIMAL TESTS WORKS BEFORE PUBLISHING YOUR MODULE. +Contents may be updated in future template updates. +""" + +import shutil +import subprocess +from pathlib import Path + +import pytest +from clio_tools.data_module import ModuleInterface + + +@pytest.fixture(scope="module") +def module_path(): + """Parent directory of the project.""" + return Path(__file__).parent.parent + + +@pytest.fixture(scope="module") +def integration_path(user_path: Path, module_path: Path, token_entsoe: Path): + """Ensures the minimal integration test is ready.""" + integration_dir = Path(module_path / "tests/integration") + if integration_dir.exists(): + # clean everything + shutil.rmtree(integration_dir / "resources", ignore_errors=True) + shutil.rmtree(integration_dir / "results/", ignore_errors=True) + user_integ_dir = integration_dir / "resources/user" + files_to_copy = { + "EUROPE_S_C1_ADM1/shapes.parquet": Path("EUROPE_S_C1_ADM1/shapes.parquet"), + "token_entsoe.txt": Path("token_entsoe.txt"), + } + for source_file, destination in files_to_copy.items(): + destination_file = user_integ_dir / destination + destination_file.parent.mkdir(parents=True, exist_ok=True) + shutil.copy(user_path / source_file, destination_file) + return integration_dir + + +def test_interface_file(module_path): + """The interfacing file should be correct.""" + assert ModuleInterface.from_yaml(module_path / "INTERFACE.yaml") + + +@pytest.mark.parametrize( + "file", + [ + "AUTHORS", + "CITATION.cff", + "INTERFACE.yaml", + "LICENSE", + "README.md", + "config/config.yaml", + "workflow/internal/config.schema.yaml", + "tests/integration/Snakefile", + ], +) +def test_standard_file_existance(module_path, file): + """Check that a minimal set of files used for documentation are present.""" + assert Path(module_path / file).exists() + + +def test_snakemake_all_failure(module_path): + """The snakemake 'all' rule should return an error by default.""" + process = subprocess.run( + "snakemake --cores 1", shell=True, cwd=module_path, capture_output=True + ) + assert "INVALID" in str(process.stderr) + + +def test_snakemake_integration_testing(integration_path): + """Run a light-weight test simulating someone using this module.""" + assert subprocess.run( + "snakemake --use-conda --cores 1", shell=True, check=True, cwd=integration_path + ) diff --git a/tests/local_test.py b/tests/local_test.py new file mode 100644 index 0000000..9207217 --- /dev/null +++ b/tests/local_test.py @@ -0,0 +1,14 @@ +"""Tests to be executed locally, as they are more computationally intense.""" + +import subprocess + + +def test_europe_nuts2(user_path): + """Test that the Europe NUTS2 shapes are correct.""" + target = "results/EUROPE_L_C34_ADM1/demand_electricity_MW.parquet" + assert subprocess.run( + f"snakemake --use-conda --cores 4 --forceall {target}", + shell=True, + check=True, + cwd=user_path.parent.parent, + ) diff --git a/workflow/Snakefile b/workflow/Snakefile new file mode 100644 index 0000000..8988ad2 --- /dev/null +++ b/workflow/Snakefile @@ -0,0 +1,53 @@ +import yaml + +from snakemake.utils import min_version, validate + +min_version("9.19") + + +# !!!!! IMPORTANT !!!!! +# Define pathvars for all user resource files and result files +# This allows users to re-wire how the module is used in their workflow with ease. +pathvars: + # User resources + shapes="/user/{shape}/shapes.parquet", + token_entsoe="/user/token_entsoe.txt", + # Module results + output_data="/{shape}/demand_electricity_MW.parquet", + + +# Load the example configuration. This will be overridden by users. +configfile: workflow.source_path("../config/config.yaml") + + +# Validate the configuration using the schema file. +validate(config, workflow.source_path("internal/config.schema.yaml")) + +# Load internal settings separately so users cannot modify them. +with open(workflow.source_path("internal/settings.yaml"), "r") as f: + internal = yaml.safe_load(f) + +# Load python files in scripts that are used in other scripts, but not run itself. +# This is necessary for integrating the snakemake module via reference to GitHub. +workflow.source_path("scripts/_plots.py") +workflow.source_path("scripts/_schemas.py") + + +# Add all your includes here. +include: "rules/automatic.smk" +include: "rules/clean.smk" +include: "rules/prepare_demand.smk" + + +rule all: + default_target: True + output: + "INVALID", + log: + stderr="/all.stderr", + conda: + "envs/shell.yaml" + message: + "ERROR: Invalid `rule all:` call" + shell: + 'echo "This workflow must be called as a snakemake module." > {log.stderr}' diff --git a/workflow/envs/gregor.yaml b/workflow/envs/gregor.yaml new file mode 100644 index 0000000..9194025 --- /dev/null +++ b/workflow/envs/gregor.yaml @@ -0,0 +1,15 @@ +name: gregor-env +channels: + - conda-forge + - nodefaults +dependencies: + - curl=8.9.1 + - pycountry=24.6.1 + - pyarrow=17.0.0 + - fastparquet=2026.5.0 + - pydantic=2.13.4 + - entsoe-py=0.8.0 + - dask=2026.6.0 + - numpy=1.26.4 + - pip: + - gregor @ git+https://github.com/jnnr/gregor.git@main diff --git a/workflow/envs/shell.yaml b/workflow/envs/shell.yaml new file mode 100644 index 0000000..e4b351d --- /dev/null +++ b/workflow/envs/shell.yaml @@ -0,0 +1,6 @@ +name: shell +channels: + - conda-forge + - nodefaults +dependencies: + - curl=8.9.1 diff --git a/workflow/internal/config.schema.yaml b/workflow/internal/config.schema.yaml new file mode 100644 index 0000000..37541ef --- /dev/null +++ b/workflow/internal/config.schema.yaml @@ -0,0 +1,32 @@ +$schema: "https://json-schema.org/draft/2020-12/schema" +description: "Schema for user-provided configuration files." + +$defs: + iso_date: + type: string + format: date + pattern: '^\d{4}-(0[1-9]|1[0-2])-(0[1-9]|[12]\d|3[01])$' + description: "Date in ISO 8601 format (YYYY-MM-DD)." + +type: object +additionalProperties: false +properties: + temporal_scope: + type: object + description: "The temporal scope of the simulation." + properties: + start: + $ref: "#/$defs/iso_date" + description: "Start date the simulation in ISO 8601 format (YYYY-MM-DD)." + end: + $ref: "#/$defs/iso_date" + description: "End date the simulation in ISO 8601 format (YYYY-MM-DD)." + required: + - start + - end + use_load: + type: string + description: "The source of load data to use in the simulation. Options are 'entsoe_api' or 'entsoe_opsd'." + enum: + - "entsoe_api" + - "entsoe_opsd" diff --git a/workflow/internal/settings.yaml b/workflow/internal/settings.yaml new file mode 100644 index 0000000..b36a034 --- /dev/null +++ b/workflow/internal/settings.yaml @@ -0,0 +1,46 @@ +# Module settings that users cannot modify. +resources: + automatic: + # Links for automatically downloaded files + load_entsoe_opsd: "https://data.open-power-system-data.org/time_series/2019-06-05/time_series_60min_stacked.csv" + population: "https://jeodpp.jrc.ec.europa.eu/ftp/jrc-opendata/GHSL/GHS_POP_GLOBE_R2023A/GHS_POP_E2020_GLOBE_R2023A_54009_1000/V1-0/GHS_POP_E2020_GLOBE_R2023A_54009_1000_V1_0.zip" + population_tif: "GHS_POP_E2020_GLOBE_R2023A_54009_1000_V1_0.tif" + +load_entsoe_api: + countries: + # Download all ENTSO-E countries + - "ALB" + - "AUT" + - "BIH" + - "BEL" + - "BGR" + - "CHE" + - "CYP" + - "CZE" + - "DEU" + - "DNK" + - "EST" + - "ESP" + - "FIN" + - "FRA" + - "GBR" + - "GRC" + - "HRV" + - "HUN" + - "IRL" + - "ITA" + - "LTU" + - "LUX" + - "LVA" + - "MNE" + - "MKD" + - "NLD" + - "NOR" + - "POL" + - "PRT" + - "ROU" + - "SRB" + - "SWE" + - "SVN" + - "SVK" + - "TUR" diff --git a/workflow/profiles/default/config.yaml b/workflow/profiles/default/config.yaml new file mode 100644 index 0000000..2923460 --- /dev/null +++ b/workflow/profiles/default/config.yaml @@ -0,0 +1,4 @@ +# snakemake settings for module cross-compatibility +# DO NOT MODIFY +software-deployment-method: conda +use-conda: True diff --git a/workflow/rules/automatic.smk b/workflow/rules/automatic.smk new file mode 100644 index 0000000..89f781a --- /dev/null +++ b/workflow/rules/automatic.smk @@ -0,0 +1,71 @@ +"""Rules to used to download automatic resource files.""" + + +rule download_load_entsoe_api: + input: + token_entsoe="", + output: + load="/automatic/load_entsoe_api.parquet", + log: + "/download_load_entsoe_api.log", + localrule: True + conda: + "../envs/gregor.yaml" + params: + country_codes_entsoe=internal["load_entsoe_api"]["countries"], + message: + "Download electricity load from ENTSOE." + script: + "../scripts/download_load_entsoe_api.py" + + +rule download_load_entsoe_opsd: + output: + load="/automatic/load_entsoe_opsd.csv", + log: + "/download_load_entsoe_opsd.log", + localrule: True + conda: + "../envs/shell.yaml" + params: + url_load=internal["resources"]["automatic"]["load_entsoe_opsd"], + message: + "Download load profiles from Open Power System Data (OPSD)." + shell: + """ + curl -sSLo {output.load:q} {params.url_load:q} + """ + + +rule download_population: + output: + population="/automatic/population.zip", + log: + "/download_population.log", + localrule: True + conda: + "../envs/shell.yaml" + params: + url_population=internal["resources"]["automatic"]["population"], + message: + "Download population data." + shell: + """ + curl -sSLo {output.population:q} {params.url_population:q} + """ + + +rule unzip_population: + input: + "/automatic/population.zip", + output: + "/automatic/population_raw.tif", + log: + "/unzip.log", + localrule: True + params: + internal_paths=internal["resources"]["automatic"]["population_tif"], + message: + "Unzip population data." + wrapper: + "v9.8.0/utils/libarchive/extract" diff --git a/workflow/rules/clean.smk b/workflow/rules/clean.smk new file mode 100644 index 0000000..711f062 --- /dev/null +++ b/workflow/rules/clean.smk @@ -0,0 +1,23 @@ +rule clean_load_entsoe_opsd: + input: + load="/automatic/load_entsoe_opsd.csv", + output: + load="/automatic/load_entsoe_opsd.parquet", + log: + "/clean_load_entsoe_opsd.log", + conda: + "../envs/gregor.yaml" + script: + "../scripts/clean_load_entsoe_opsd.py" + + +rule clean_population: + input: + vector="", + raster=rules.unzip_population.output[0], + output: + path="/automatic/{shape}/population_clean.tif", + log: + "/{shape}/clean_population.log", + wrapper: + "v7.2.0/geo/rasterio/clip-geotiff" diff --git a/workflow/rules/prepare_demand.smk b/workflow/rules/prepare_demand.smk new file mode 100644 index 0000000..6c6ceee --- /dev/null +++ b/workflow/rules/prepare_demand.smk @@ -0,0 +1,36 @@ +rule demand_electricity_raster: + input: + demand=f"/automatic/load_{config['use_load']}.parquet", + shapes="", + population="/automatic/{shape}/population_clean.tif", + output: + output_data="/automatic/{shape}/demand_electricity_raster.tif", + output_profiles="/automatic/{shape}/demand_electricity_countries_profiles.parquet", + plot_raster="/{shape}/demand_electricity_raster_map.png", + plot_profiles="/{shape}/raw_load_entsoe_profiles.png", + log: + "/{shape}/demand_electricity_raster.log", + conda: + "../envs/gregor.yaml" + message: + "Disaggregate annual demand to raster." + script: + "../scripts/demand_electricity_raster.py" + + +rule demand_electricity_polygon: + input: + demand_raster="/automatic/{shape}/demand_electricity_raster.tif", + demand_profiles="/automatic/{shape}/demand_electricity_countries_profiles.parquet", + shapes="", + output: + output_data="", + output_map="/{shape}/demand_electricity_map.png", + log: + "/{shape}/demand_electricity_polygon.log", + conda: + "../envs/gregor.yaml" + message: + "Aggregate annual demand to shapes and scale with profile." + script: + "../scripts/demand_electricity_polygon.py" diff --git a/workflow/scripts/_plots.py b/workflow/scripts/_plots.py new file mode 100644 index 0000000..438945f --- /dev/null +++ b/workflow/scripts/_plots.py @@ -0,0 +1,124 @@ +"""A collection of plotting functions shared across scripts.""" + +import matplotlib.pyplot as plt +import numpy as np +import pandas as pd +from matplotlib.colors import LinearSegmentedColormap +from matplotlib.dates import DateFormatter + +MW_to_GW = 1e-3 +GW_to_TW = 1e-3 +MW_to_TW = 1e-6 + + +WhiteToRed = LinearSegmentedColormap.from_list("WhiteToRed", ["#ffffff", "#ff0000"]) + + +def plot_national_profiles(df: pd.DataFrame): + """Plot electricity demand profiles for all countries.""" + profiles_GW = df * MW_to_GW + profiles_GW_d = profiles_GW.resample("1D").mean() + + n_profiles = df.shape[1] + + fig, axs = plt.subplots(1, n_profiles, figsize=(17, 6)) + fig.subplots_adjust(wspace=0) + + for ax, column in zip(axs, profiles_GW.columns): + val_max = profiles_GW[column].max() + val_max = val_max if val_max > 0 else 1 + + ax.plot( + profiles_GW[column], profiles_GW.index, label=column, color="C0", alpha=0.3 + ) + ax.plot( + profiles_GW_d[column], + profiles_GW_d.index, + label=f"{column} (daily mean)", + color="k", + linewidth=1, + ) + + # plot missing values as red + highlight_values( + ax, profiles_GW[column], lambda x: x.isna(), color="red", alpha=0.5 + ) + # plot zero values as violet + highlight_values( + ax, profiles_GW[column], lambda x: x == 0, color="violet", alpha=0.5 + ) + ax.invert_yaxis() + ax.set_xlim(0, val_max * 1.1) + ax.set_xticks([0, np.round(val_max, 1)]) + ax.set_xticklabels(["", np.round(val_max, 1)]) + ax.title.set_text(column) + + for ax in axs.flatten()[1:]: + ax.set_yticks([]) + + axs[0].set_ylabel("Time") + axs[0].yaxis.set_major_formatter(DateFormatter("%Y-%m-%d")) + axs[0].set_xlabel("Electricity load (GW)") + + fig.suptitle("National electricity load for ENTSO-E countries") + + # legend below the plot + handles = { + plt.Line2D([0], [0], color="C0", alpha=0.3, label="Hourly load"), + plt.Line2D([0], [0], color="k", label="Daily mean load"), + plt.Rectangle((0, 0), 1, 1, color="violet", alpha=0.5, label="Zero values"), + plt.Rectangle((0, 0), 1, 1, color="red", alpha=0.5, label="Missing values"), + } + labels = [h.get_label() for h in handles] + fig.legend(handles=handles, labels=labels, loc="lower center", ncol=4) + + return fig + + +def highlight_values(ax, series, condition, color="red", alpha=0.5): + """Highlight values in a plot based on a condition.""" + mask = condition(series) + + # if all values are True, color all + if mask.all(): + ax.axhspan(series.index[0], series.index[-1], color=color, alpha=alpha) + return + + begins = series.index[mask & ~mask.shift(1, fill_value=False)] + ends = series.index[mask & ~mask.shift(-1, fill_value=False)] + for begin, end in zip(begins, ends): + ax.axhspan(begin, end, color=color, alpha=alpha) + + +def map_raster(shapes, demand): + """Plot annual electricity demand on a map.""" + fig, ax = plt.subplots(figsize=(7, 6), dpi=300) + + demand_coarse = demand.coarsen(x=5, y=5, boundary="trim").sum() + + demand_coarse = demand_coarse.rio.write_crs(demand.rio.crs) + demand_coarse = demand_coarse.rio.write_transform(demand.rio.transform()) + + demand_coarse.plot(ax=ax, cmap=WhiteToRed, vmin=0, vmax=10000, aspect=None) + + shapes.boundary.plot(ax=ax, color="white", alpha=0.3, linewidth=0.5, aspect=None) + + return fig + + +def map_polygon(demand): + """Plot annual electricity demand on a map.""" + summed_demand = demand["sum"].sum() * MW_to_TW + + fig, ax = plt.subplots(figsize=(7, 6)) + demand.plot(ax=ax, column="sum", cmap=WhiteToRed, legend=True, aspect=None) + demand.geometry.boundary.plot( + ax=ax, color="white", alpha=0.3, linewidth=0.5, aspect=None + ) + demand.geometry.boundary.plot( + ax=ax, color="k", alpha=0.3, linewidth=0.3, aspect=None + ) + + ax.set_title(f"Total annual electricity demand:\n{summed_demand:.0f} TWh") + + return fig diff --git a/workflow/scripts/_schemas.py b/workflow/scripts/_schemas.py new file mode 100644 index 0000000..ef1cdd5 --- /dev/null +++ b/workflow/scripts/_schemas.py @@ -0,0 +1,46 @@ +"""Schemas for key files.""" + +# ruff: noqa: UP007 +import pandas as pd +import yaml +from pandera.pandas import DataFrameModel, Field +from pandera.typing.geopandas import GeoSeries +from pandera.typing.pandas import Series + + +def read_yaml(path): + """Read a YAML file.""" + with open(path) as file: + return yaml.safe_load(file) + + +class LoadENTSOE(DataFrameModel): + class Config: + coerce = True + strict = False + + region: Series[str] + "2-letter country code." + variable: Series[str] + "Variable." + attribute: Series[str] + "Attribute." + utc_timestamp: Series[pd.Timestamp] + "UTC timestamp." + data: Series[float] + "Load data." + + +class Shapes(DataFrameModel): + class Config: + coerce = True + strict = False + + shape_id: Series[str] + "Shape ID." + country_id: Series[str] + "Country ID." + shape_class: Series[str] = Field(isin=["land", "maritime"]) + "Shape class." + geometry: GeoSeries + "Geometry." diff --git a/workflow/scripts/clean_load_entsoe_opsd.py b/workflow/scripts/clean_load_entsoe_opsd.py new file mode 100644 index 0000000..6a5cb3e --- /dev/null +++ b/workflow/scripts/clean_load_entsoe_opsd.py @@ -0,0 +1,55 @@ +"""Clean load data from ENTSO-E.""" + +import sys +from typing import TYPE_CHECKING, Any +from warnings import warn + +import pandas as pd +import pycountry +from _schemas import LoadENTSOE + +if TYPE_CHECKING: + snakemake: Any + + +def get_map_alpha2_to_alpha3(countries_alpha_2): + """Get mapping from alpha-2 to alpha-3 country codes.""" + map_alpha2_to_alpha3 = {} + for alpha2 in countries_alpha_2: + country = pycountry.countries.get(alpha_2=alpha2) + if country is not None: + map_alpha2_to_alpha3[alpha2] = country.alpha_3 + else: + warn(f"Country with alpha-2 code '{alpha2}' not found in pycountry.") + + return map_alpha2_to_alpha3 + + +def main(path_raw_load, output_load): + """Clean ENTSO-E load data (units of MW), downloaded from open power system data (OPSD).""" + load = pd.read_csv(path_raw_load) + load = LoadENTSOE.validate(load) + + # filter the raw data + load = load.loc[load["variable"] == "load"] + load = load.loc[load["attribute"] == "actual_entsoe_power_statistics"] + + # map country codes from alpha-2 to alpha-3 + map_alpha2_to_alpha3 = get_map_alpha2_to_alpha3(load["region"].unique()) + + load = load.loc[load["region"].isin(map_alpha2_to_alpha3.keys())] + load.loc[:, "region"] = load.loc[:, "region"].map(map_alpha2_to_alpha3) + + # pivot the data to have one column per region + load_pivot = pd.pivot( + load, index=["utc_timestamp"], columns=["region"], values="data" + ) + load_pivot.index = pd.to_datetime(load_pivot.index).tz_localize(None) + + # save data and plots + load_pivot.to_parquet(output_load) + + +if __name__ == "__main__": + sys.stderr = open(snakemake.log[0], "w", buffering=1) + main(path_raw_load=snakemake.input.load, output_load=snakemake.output.load) diff --git a/workflow/scripts/demand_electricity_polygon.py b/workflow/scripts/demand_electricity_polygon.py new file mode 100644 index 0000000..b02fb8a --- /dev/null +++ b/workflow/scripts/demand_electricity_polygon.py @@ -0,0 +1,154 @@ +"""Prepare electricity demand timeseries, aggregated to shapes.""" + +import sys +from typing import TYPE_CHECKING, Any +from warnings import warn + +import geopandas as gpd +import gregor +import matplotlib.pyplot as plt +import pandas as pd +import rioxarray as rxr +from _plots import map_polygon +from _schemas import Shapes + +if TYPE_CHECKING: + snakemake: Any + + +def apply_profiles(demand_polygon, shapes, demand_profiles): + """Apply profiles to produce demand profiles for regions. + + Produce demand profiles for each region by applying the countries' demand + profiles to the aggregated annual demand of the regions. + + Parameters + ---------- + demand_polygon : gdp.GeoDataFrame + Annual demand per region. + shapes : gpd.GeoDataFrame + Contains the country_id and geometry of each region. + demand_profiles : pd.DataFrame + Contains the demand profiles for each country. + + Returns: + ------- + pd.DataFrame + Demand profiles for each region. + + """ + # drop regions whose country_id does not correspond to a demand_profile + country_id_of_region = shapes["country_id"] + covered_countries = demand_profiles.columns + + countries_not_covered = set(country_id_of_region.unique()).difference( + covered_countries + ) + regions_not_covered = country_id_of_region[ + country_id_of_region.isin(countries_not_covered) + ].index.tolist() + + demand_polygon_covered = demand_polygon.loc[ + ~demand_polygon.index.isin(regions_not_covered) + ] + warn( + f"Regions {regions_not_covered} are not covered by any demand profile and have been dropped." + ) + + # assign profiles to regions + demand_profiles_mapped = pd.DataFrame( + { + region: demand_profiles[country_id_of_region[region]] + for region in demand_polygon_covered.index + } + ) + # multiply with regional annual demand and normalize profiles + profiles_region = demand_profiles_mapped.mul( + demand_polygon_covered[demand_profiles_mapped.columns] + ) + + # normalize profiles + profiles_sum = demand_profiles_mapped.sum(axis=0) + profiles_region = profiles_region.div(profiles_sum, axis="columns") + profiles_region.columns.name = demand_polygon_covered.index.name + + # check if the sum of the profiles matches the annual demand + assert_series_equal(demand_polygon_covered, profiles_region.sum(axis=0)) + + return profiles_region + + +def assert_series_equal(s1: pd.Series, s2: pd.Series, tolerance: float = 1e-5): + """Assert that two pd.Series are equal. + + More detailed reporting than pd.testing.assert_series_equal. + """ + compare = s1.to_frame("left").join(s2.to_frame("right")) + + is_equal = (compare["left"] - compare["right"]).abs() < tolerance + + discrepancy = compare.loc[~is_equal] + + discrepancy["difference"] = (discrepancy["left"] - discrepancy["right"]).abs() + + assert is_equal.all(), ( + f"Sum of profiles does not match annual demand: {discrepancy}" + ) + + +def main( + path_demand_raster, + path_demand_profiles, + path_shapes, + path_output_data, + path_output_map, +): + """Aggregate raster demand to polygons and apply profile of the respective country.""" + # load data + demand_raster = rxr.open_rasterio(path_demand_raster) + demand_profiles = pd.read_parquet(path_demand_profiles) + shapes = gpd.read_parquet(path_shapes) + shapes = Shapes.validate(shapes) + + # use only shapes of class land + maritime_shapes = shapes.loc[shapes["shape_class"] == "maritime"] + if not maritime_shapes.empty: + warn(f"Dropping maritime shapes: {maritime_shapes['shape_id'].tolist()}") + shapes = shapes.loc[shapes["shape_class"] == "land"] + shapes = shapes[["shape_id", "country_id", "geometry"]].set_index("shape_id") + + # aggregate raster to target shapes + demand_polygon = gregor.aggregate.aggregate_raster_to_polygon( + demand_raster.sel( + band=1 + ), # TODO: Check why the band dim is introduced when disaggregating + shapes.geometry, + ) + + # check for NaN values and drop shapes with NaN demand + nan_values = demand_polygon.loc[demand_polygon["sum"].isna()] + if not nan_values.empty: + warn(f"Dropping shapes with NaN demand values: {nan_values.index.tolist()}") + demand_polygon = demand_polygon.loc[~demand_polygon["sum"].isna()] + + # apply profiles + demand_polygon_profiles = apply_profiles( + demand_polygon["sum"], shapes, demand_profiles + ) + + # save results and plots + demand_polygon_profiles.to_parquet(path_output_data) + + map_polygon(demand_polygon) + plt.savefig(path_output_map, bbox_inches="tight") + + +if __name__ == "__main__": + sys.stderr = open(snakemake.log[0], "w", buffering=1) + main( + path_demand_raster=snakemake.input.demand_raster, + path_demand_profiles=snakemake.input.demand_profiles, + path_shapes=snakemake.input.shapes, + path_output_data=snakemake.output.output_data, + path_output_map=snakemake.output.output_map, + ) diff --git a/workflow/scripts/demand_electricity_raster.py b/workflow/scripts/demand_electricity_raster.py new file mode 100644 index 0000000..c11312f --- /dev/null +++ b/workflow/scripts/demand_electricity_raster.py @@ -0,0 +1,103 @@ +"""Prepare electricity demand timeseries at raster resolution.""" + +import sys +from typing import TYPE_CHECKING, Any +from warnings import warn + +import geopandas as gpd +import gregor +import matplotlib.pyplot as plt +import numpy as np +import pandas as pd +import rioxarray as rxr +from _plots import map_raster, plot_national_profiles +from _schemas import Shapes + +if TYPE_CHECKING: + snakemake: Any + + +def main( + path_demand, + path_population, + path_shapes, + start, + end, + path_output_data, + path_output_profiles, + plot_raster, + plot_profiles, +): + """Main function.""" + # load data + demand = pd.read_parquet(path_demand) + shapes = gpd.read_parquet(path_shapes) + shapes = Shapes.validate(shapes) + population = rxr.open_rasterio(path_population) + + # filter data + countries = shapes.loc[shapes["shape_class"] == "land"] + countries = countries.dissolve(by="country_id") + population = population.sel(band=1) + + # clip population data to + + # fill NaN values in population with zeros (assuming NaN means no population) + fill_value = population.attrs.get("_FillValue", np.nan) + population = population.where(population != fill_value, 0) + population.attrs["_FillValue"] = 0 + + # match load data with countries + regions = demand.columns + missing_countries = set(regions).difference(countries.index.unique()) + if missing_countries: + warn(f"Dropping timeseries for missing countries: {sorted(missing_countries)}") + demand_filtered = demand.loc[:, demand.columns.isin(countries.index.unique())] + + # filter demand to time range + demand_filtered = demand_filtered.loc[start:end] + + # drop columns with all zero or all NaN values + all_nan = demand_filtered.isna().all(axis=0) + all_zero = (demand_filtered == 0).all(axis=0) + if all_nan.any(): + warn(f"Dropping columns with all NaN: {all_nan.loc[all_nan].index.tolist()}") + if all_zero.any(): + warn(f"Dropping columns with all zero: {all_zero.loc[all_zero].index.tolist()}") + demand_filtered = demand_filtered.loc[:, ~(all_nan | all_zero)] + + # aggregate demand over time + demand_sum = demand_filtered.sum(axis=0).to_frame(name="demand") + + # join with countries' geometry + demand_sum = demand_sum.join(countries["geometry"]) + demand_sum = gpd.GeoDataFrame(demand_sum, geometry="geometry") + + # disaggregate annual demand to raster resolution + demand_raster = gregor.disaggregate.disaggregate_polygon_to_raster( + demand_sum, column="demand", proxy=population.chunk("auto") + ) + demand_raster.rio.to_raster(path_output_data) + + demand_filtered.to_parquet(path_output_profiles) + + map_raster(countries, demand_raster) + plt.savefig(plot_raster, bbox_inches="tight") + + plot_national_profiles(demand) + plt.savefig(plot_profiles, bbox_inches="tight", dpi=300) + + +if __name__ == "__main__": + sys.stderr = open(snakemake.log[0], "w", buffering=1) + main( + path_demand=snakemake.input.demand, + path_population=snakemake.input.population, + path_shapes=snakemake.input.shapes, + start=snakemake.config["temporal_scope"]["start"], + end=snakemake.config["temporal_scope"]["end"], + path_output_data=snakemake.output.output_data, + path_output_profiles=snakemake.output.output_profiles, + plot_raster=snakemake.output.plot_raster, + plot_profiles=snakemake.output.plot_profiles, + ) diff --git a/workflow/scripts/download_load_entsoe_api.py b/workflow/scripts/download_load_entsoe_api.py new file mode 100644 index 0000000..eaa637a --- /dev/null +++ b/workflow/scripts/download_load_entsoe_api.py @@ -0,0 +1,73 @@ +"""Download electricity load data from ENTSO-E using the entsoe-py library.""" + +import sys +from typing import TYPE_CHECKING, Any +from warnings import warn + +import pandas as pd +import pycountry +import yaml +from entsoe import EntsoePandasClient +from entsoe.exceptions import NoMatchingDataError + +if TYPE_CHECKING: + snakemake: Any + + +def load_txt(filepath): + """Load text file.""" + with open(filepath) as file: + data = file.read() + return data + + +def load_yaml(path): + """Load a YAML file.""" + with open(path) as file: + return yaml.safe_load(file) + + +def main(start, end, country_codes, token, output_load): + """Download load in MW via the ENTSO-E API.""" + start = pd.Timestamp(start, tz="UTC") + end = pd.Timestamp(end, tz="UTC") + token = load_txt(token).strip() + client = EntsoePandasClient(api_key=token) + + data = [] + for country_alpha_3 in country_codes: + country_alpha_2 = pycountry.countries.get(alpha_3=country_alpha_3).alpha_2 + + try: + df_country = client.query_load( + country_code=country_alpha_2, start=start, end=end + ) + df_country = df_country["Actual Load"] + df_country.name = country_alpha_3 + + except NoMatchingDataError: + warn( + f"No data found for {country_alpha_2}/{country_alpha_3} in the given period: {start} to {end}" + ) + df_country = pd.Series(name=country_alpha_3) + + data.append(df_country) + + df = pd.concat(data, axis=1) + + df.index = pd.to_datetime(df.index, utc=True) + + df = df.resample("1h").mean() + + df.to_parquet(output_load) + + +if __name__ == "__main__": + sys.stderr = open(snakemake.log[0], "w", buffering=1) + main( + start=snakemake.config["temporal_scope"]["start"], + end=snakemake.config["temporal_scope"]["end"], + country_codes=snakemake.params.country_codes_entsoe, + token=snakemake.input.token_entsoe, + output_load=snakemake.output.load, + )