Mixed data-driven decision-making in demand response management: An empirical evidence from dynamic time-warping based nonparametric-matching DID

•Mixed frequency data have been integrates for residential DR decision making.•Dynamic time-warping clustering-based DID method have been proposed.•Challenges and solutions of DID in large-scale, high-frequency data have been explored.•Residential demand response effects and behaviour heterogeneity...

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Vydáno v:	Omega (Oxford) Ročník 100; s. 102233
Hlavní autoři:	Wang, Zhaohua, Zhao, Wenhui, Deng, Nana, Zhang, Bin, Wang, Bo
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.04.2021
Témata:	Data-driven algorithm Demand response management Dynamic time warping Mixed frequency data Nonparametric matching Nonparametric matching Mixed frequency data Dynamic time warping Demand response management Data-driven algorithm
ISSN:	0305-0483, 1873-5274
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