Flexibility characterization of residential electricity consumption: A machine learning approach-Reference-Cited by-同舟云学术

Flexibility characterization of residential electricity consumption: A machine learning approach

Published:2022-12 Issue: Volume:32 Page:100801
ISSN:2352-4677
Container-title:Sustainable Energy, Grids and Networks
language:en
Short-container-title:Sustainable Energy, Grids and Networks

Author:

Amayri Manar,Silva Carlos Santos^ORCID,Pombeiro Henrique^ORCID,Ploix Stéphane

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Control and Systems Engineering

Reference34 articles.

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3. Flexible electricity generation, grid exchange and storage for the transition to a 100% renewable energy system in Europe;Child;Renew. Energy,2019

4. Measures to improve energy demand flexibility in buildings for demand response (dr): A review;Chen;Energy Build.,2018

5. Nilm techniques for intelligent home energy management and ambient assisted living: A review;Ruano;Energies,2019

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