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Adaptive model predictive control for solar-assisted multi-source heat pump systems using machine learning
DOI:10.1016/j.energy.2026.140894.png)
Abstract
En 中文
• An AMPC framework for solar-assisted multi-source heat pump systems is proposed. • LSTM and LightGBM are optimized for summer and winter load forecasting. • AMPC achieves 12.0% energy savings compared to conventional PID control. • Indoor temperature fluctuations are reduced by over 65% for enhanced comfort.
Keywords:
Adaptive Model Predictive Control
Solar-Assisted Heat Pump
Machine Learning
Load Forecasting
Energy Efficiency
Journal
IF:
9.4
Papers:
4.3W
Citations:
20.2W
Organization
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No cited papers available

