Energy Dispatch for CCHP System in Summer Based on Deep Reinforcement Learning

Energy Dispatch for CCHP System in Summer Based on Deep Reinforcement Learning

Combined cooling, heating, and power (CCHP) system is an effective solution to solve energy and environmental problems. However, due to the demand-side load uncertainty, load-prediction error, environmental change, and demand charge, the energy dispatch optimization of the CCHP system is definitely...

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Bibliographic Details
Main Authors: Wenzhong Gao, Yifan Lin
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Entropy
Subjects:
deep reinforcement learning
DoubleDQN
CCHP system
energy dispatch
demand charge
uncertainties
Online Access:https://www.mdpi.com/1099-4300/25/3/544

Internet

https://www.mdpi.com/1099-4300/25/3/544

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