Incorporating deep learning of load predictions to enhance the optimal active energy management of combined cooling, heating and power system

Author:

Zhou Yuan,Wang Jiangjiang,Liu Yi,Yan Rujing,Ma Yanpeng

Funder

National Natural Science Foundation of China

Natural Science Foundation of Beijing Municipality

Publisher

Elsevier BV

Subject

General Energy,Pollution,Mechanical Engineering,Building and Construction,Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Civil and Structural Engineering

Reference36 articles.

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2. Hybrid solar-assisted combined cooling, heating, and power systems: a review;Wang;Renew Sustain Energy Rev,2020

3. An off-design model to optimize CCHP-GSHP system considering carbon tax;Zeng;Energy Convers Manag,2019

4. Optimal design of hybrid combined cooling, heating and power systems considering the uncertainties of load demands and renewable energy sources;Wang;J Clean Prod,2021

5. Energy, exergy, and economic evaluations of a CCHP system by using the internal combustion engines and gas turbine as prime movers;Abbasi;Energy Convers Manag,2018

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