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stevenchenjy/README.md

Steven (Junyu) Chen

I'm a student at The Storm King School interested in environmental science, engineering, and tools that help communities. I share research code and practical projects so others can inspect the methods, try the examples, and report what they find.

Research, writing, and projects

Featured research: occupancy forecasts and empty building periods

I developed this first-author study with guidance from Prof. Chong Li. It compares occupancy forecasts and examines how their recommendations agree with recorded camera labels. The public materials include the manuscript, saved outputs, an interactive browser replay, a small offline Python kit, and a notebook.

The fixed hybrid rule found 14 sustained windows across 43 saved test horizons, with zero camera-label conflicts in 259 recommended fifteen-minute intervals. These are offline observations from one building. They do not establish energy savings or guarantee future performance.

Try the demo · Read the worked example · Run the notebook · Download the offline kit · Paper and citation · Code and results

Selected projects

Project What you can inspect
Soup kitchen forecasting Attendance forecasts, meal-count planning, staff dashboards, and prediction monitoring.
SKS Carbon Progress A public sustainability-reporting prototype connecting campus carbon planning and student projects.
School service hours portal Submission, review, approved progress, and volunteer event coordination for a school community.

Try a small reproduction

The occupancy notebook and offline Python kit recompute the fixed policy comparison without training a model. The kit can save a local result receipt that you may review before sharing. If you try it, report your environment and observed results. A correction or a failed reproduction report is useful too. Starter tasks cover Colab, Windows, and accessibility checks.

Pinned Loading

  1. decision-aware-occupancy-forecasting decision-aware-occupancy-forecasting Public

    Building occupancy forecasts to sustained empty-window recommendations. Browser demo, Python notebook, and reproducible offline results.

    Jupyter Notebook 1

  2. soup-kitchen-forecast soup-kitchen-forecast Public

    Forecasts soup-kitchen attendance and suggests meal counts to support planning, with staff dashboards and prediction monitoring.

    Python 1

  3. SKS-Carbon-Progress SKS-Carbon-Progress Public

    Public sustainability-reporting prototype connecting START assessments, campus carbon planning, and student projects.

    TypeScript

  4. SKS-NHS-Hours SKS-NHS-Hours Public

    Invite-only school portal for submitting and reviewing service hours, tracking approved progress, and signing up for volunteer events.

    TypeScript