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Adaptive model predictive control for solar-assisted multi-source heat pump systems using machine learning

delete2026-03-31
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PRE
AI
L
Lanxiang Yang
S
Shangzhou Ma
J
Jingyu Wu
Y
Yaran Wang *
G
Guoshan Zhang
Z
Zhiyong Xu
L
Liwen Wang
S
Shen Wei
DOI:10.1016/j.energy.2026.140894delete
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Abstract

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

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Energy cover
Energy
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Tianjin University
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tianjin university
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university college london
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State Power Investment Corporation
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