CLM-former for enhancing multi-horizon time series forecasting and load prediction in smart microgrids using a robust transformer-based model

Key Points

• Improved load prediction accuracy was observed using the transformer model, marking a significant advance in time series forecasting.
• Key findings include a robust approach that enhances forecasting precision, evidenced by predictive metrics across multiple horizons.
• Analysis utilized a transformer model, emphasizing its application in multi-horizon time series forecasting for energy systems.
• This advancement may enable smarter energy management solutions, although practical application still requires further validation in real-world settings.