solar_energy_forecaster_tstcc
Overview
This model is a Time-Series Transformer designed to predict solar power output (kW) for the next 24 hours based on historical generation data and meteorological inputs.
Model Architecture
The model uses a Time-Series Transformer (TST) architecture that captures long-range dependencies in sequential data better than traditional RNNs.
Intended Use
- Grid Management: Helping utility companies balance power supply and demand.
- Smart Homes: Optimizing battery storage usage based on predicted generation.
- Microgrids: Managing energy distribution in remote areas.
Limitations
- Sudden Weather Shifts: Performance may drop during unpredictable events like rapid cloud formation.
- Sensor Drift: Requires recalibration if the physical solar sensors degrade.
