Commit History
-
README.md
Verified signatureThis repository contains a fine-tuned **Patch Time Series Transformer (PatchTST)** model designed for predicting cooling load metrics from occupancy and weather time-series data. The model simultaneously predicts: - `predicted_cooling_load_kWh` - `optimized_cooling_load_kWh` - `actual_cooling_load_kWh` ## Model Description The model leverages historical occupancy, zone, and rich weather features to perform multivariate, multi-output time-series regression. The architecture is based on Microsoft's PatchTST transformer adapted for multivariate forecasting. ## Intended Use This model is intended for: - HVAC energy consumption forecasting - Smart building climate control optimization - Research on occupancy and environmental impact on cooling load ## Limitations & Ethical Considerations - Model performance depends heavily on quality and representativeness of input data. - Deployment in real environments should consider additional safety and calibration factors. - Biases in historic…d7f6421 -
Upload PatchTST model fine-tuned on occupancy+weather data via TSai.
Verified signature46b16ea -
initial commit
Verified signature307b439