Enhancing Air Conditioning System Efficiency Through Load Prediction and Deep Reinforcement Learning: A Case Study of Ground Source Heat Pumps

Enhancing Air Conditioning System Efficiency Through Load Prediction and Deep Reinforcement Learning: A Case Study of Ground Source Heat Pumps

This study proposes a control method that integrates deep reinforcement learning with load forecasting, to enhance the energy efficiency of ground source heat pump systems. Eight machine learning models are first developed to predict future cooling loads, and the optimal one is then incorporated int...

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Bibliographic Details
Main Authors: Zhitao Wang, Yubin Qiu, Shiyu Zhou, Yanfa Tian, Xiangyuan Zhu, Jiying Liu, Shengze Lu
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Energies
Subjects:
ground source heat pump system
deep reinforcement learning
building load prediction
high-efficiency chiller plant
Online Access:https://www.mdpi.com/1996-1073/18/1/199

Internet

https://www.mdpi.com/1996-1073/18/1/199

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