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.