2024
DOI: 10.35833/mpce.2023.000516
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Online Demand Response Characterization Based on Variability in Customer Behavior

Lester Marrero,
Daniel Sbarbaro,
Luis Garcia-Santander

Abstract: This paper proposes an online framework to characterize demand response (DR) over time. The proposed framework facilitates obtaining and updating the daily consumption patterns of customers. The essential concept of response profile class (RPC) is introduced for characterization and complemented by the measure of the variability in customer behavior. This paper uses a modified version of the incremental clustering by fast search and find of density peaks (CFSFDP) algorithm for daily profiles, considering the m… Show more

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Cited by 2 publications
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