Multi-Step Clustering of Smart Meters Time Series: Application to Demand Flexibility Characterization of SME Customers

Customer segmentation according to load-shape profiles using smart meter data is an increasingly important application to vital the planning and operation of energy systems and to enable citizens’ participation in the energ... | Find, read and cite all the research you need on Tech Science Press

Authors

Publication Details

Journal
Computer Modeling in Engineering & Sciences
Published
2024-11-22
DOI
https://doi.org/10.32604/cmes.2024.054946
Citations
4
Primary Topic
Innovation Diffusion and Forecasting
Type
article
Field-Weighted Citation Impact
1.96

Funders

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article

Multi-Step Clustering of Smart Meters Time Series: Application to Demand Flexibility Characterization of SME Customers

Natividad Duro, Santiago Bañales, Raquel Dormido
4 citations
Computer Modeling in Engineering & Sciences
Innovation Diffusion and Forecasting
1.96
article

Multi-Step Clustering of Smart Meters Time Series: Application to Demand Flexibility Characterization of SME Customers

Natividad Duro, Santiago Bañales, Raquel Dormido
article en
4 citations

Abstract

Customer segmentation according to load-shape profiles using smart meter data is an increasingly important application to vital the planning and operation of energy systems and to enable citizens’ participation in the energ... | Find, read and cite all the research you need on Tech Science Press

Computer Modeling in Engineering & SciencesVol. 142(1)
Ministerio de Ciencia e Innovación
Openalex Percentile: Top 12%
Innovation Diffusion and Forecasting
1.96
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