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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Autori principali:	Jintao He, Lingfeng Shi, Yonghao Zhang, Meiyan Zhang, Yu Yao, Hailang Sang, Hua Tian, Gequn Shu
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Elsevier 2025-09-01
Serie:	Energy and AI
Soggetti:	Waste heat recovery Deep reinforcement learning Cogeneration system Road condition evaluation
Accesso online:	http://www.sciencedirect.com/science/article/pii/S2666546825001041
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