PROJECT / 001
GridCast
California Electricity Demand & Price Forecasting
ILLUSTRATIVE / SYNTHETIC
01 / Overview
A forecasting study of electricity demand and price behavior in California's grid context.
02 / Problem
Forecasting must be evaluated at the same points in time a real decision would be made. The project focuses on framing the target and horizon before choosing a model.
03 / Approach
The study is structured to compare transparent baselines with statistical and machine-learning approaches under a walk-forward validation design.
04 / Technical stack
Python · Pandas · XGBoost · PyTorch · statsmodels
05 / Visualization
Illustrative visualization only. It communicates the project direction rather than a completed experimental result.
06 / Future development
Evaluation criteria and error analysis will be documented once the experimental protocol is finalized.