Python package for working with demand-side grid projects, datasets and queries

Life Cycle Assessment of Technical Building Services of Large Residential Building Stocks using Semantic 3D City Models

🔋 Time Series Forecasting for Energy Demand Spike Prediction 🔋

A rigorous benchmark of 11 time-series forecasting models on hourly energy demand data — from a seasonal naive baseline to gradient-boosted trees, deep recurrent networks, and a stacking ensemble.

Code written for a co-op term on Integrated Assessment Models

This project seeks to analyze the behavior of solar energy generation in Spain and how this generation is affected by various climatic/atmospheric variables.

AI-powered electricity load forecasting and grid demand planning for Southern California. SARIMA time series forecasting, EV adoption and solar penetration scenario builder, and executive capacity planning dashboard.

LSTM-based hourly electricity demand forecasting model with 3.95% MAPE, using PGCB data to enable proactive grid management.

A module to prepare demand profiles for Europe at arbitrary spatial resolution, based on ENTSO-E historical load data.

En este proyecto se busca analizar el comportamiento de la generación de energía solar en España y como dicha generación es afectada por diversas variables climáticas/atmosféricas.

End-to-end time series analysis of hourly electricity consumption across 4,400+ London households using smart meter data

Interactive dashboard displaying the latest trends in publicly reported data center energy use.

pull PSE data into Python