Hybrid data-driven operation method for demand response of community integrated energy systems utilizing virtual and physical energy storage

Bu, Yuntao; Yu, Hao; Ji, Haoran; Song, Guanyu; Xu, Jing; Li, Juan; Zhao, Jinli; Li, Peng

doi:10.1016/j.apenergy.2024.123295

Applied Energy

2024

DOI: 10.1016/j.apenergy.2024.123295

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Hybrid data-driven operation method for demand response of community integrated energy systems utilizing virtual and physical energy storage

Yuntao Bu,

Hao Yu,

Haoran Ji

et al.

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Cited by 4 publications

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Hybrid data-driven operation method for demand response of community integrated energy systems utilizing virtual and physical energy storage

Cited by 4 publications

References 41 publications

Distributionally robust service restoration for integrated electricity-heating systems considering secondary strikes of subsequent random events

Distributionally robust service restoration for integrated electricity-heating systems considering secondary strikes of subsequent random events

A comprehensive evaluation framework for building energy systems considering economic efficiency, independence, and building–grid interaction performance indicators

Dynamic simulation and optimal design of a combined cold and power system with 10 MW compressed air energy storage and integrated refrigeration

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