Optimizing combined cooling and power systems in refrigerated trucks: a deep deterministic policy gradient approach

The CO2-based combined cooling and power (CCP) system is regarded as a highly promising alternative for waste heat recovery in refrigerated trucks, owing to its environmental advantages and multienergy output. The CCP system implemented in refrigerated trucks is more intricate than conventional wast...

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Bibliografische Detailangaben

Hauptverfasser:	Jintao He, Lingfeng Shi, Yonghao Zhang, Meiyan Zhang, Yu Yao, Hailang Sang, Hua Tian, Gequn Shu
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Elsevier 2025-09-01
Schriftenreihe:	Energy and AI
Schlagworte:	Waste heat recovery Deep reinforcement learning Cogeneration system Road condition evaluation
Online-Zugang:	http://www.sciencedirect.com/science/article/pii/S2666546825001041
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