AI-driven modeling and short-term forecasting of thermal energy transfer in district heating systems
Accurate monitoring of thermal energy transfer (ΔE) is essential for efficient district heating operation, particularly when direct flow-based measurements are unavailable or incomplete. This study evaluates artificial intelligence (AI)-based soft sensing and one-hour-ahead forecasting of ΔE using temperature-only inpu...