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Data-Driven assessment of demand response potential of residential loads based on LSTM-WGCNA and Customer directrix load | Synapse
March 3, 2026
Data-Driven assessment of demand response potential of residential loads based on LSTM-WGCNA and Customer directrix load
BP
Bo Peng
BC
Baolin Cui
XM
Xin Ma
Peking University
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Key Points
The assessment demonstrates significant demand response potential in residential loads, enhancing energy efficiency.
Key metric indicates a potential reduction of 15-30% in peak load using demand response strategies.
Analysis utilizing LSTM-WGCNA and customer directrix load provides a novel method for energy management.
Findings suggest strategic applications of demand response in residential settings, aiming to optimize energy use.
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Cite This Study
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Peng et al. (Mon,) studied this question.
synapsesocial.com/papers/69a765ebbadf0bb9e87daf69
https://doi.org/https://doi.org/10.1016/j.enbuild.2026.117101