Privacy-preserving federated learning for residential short-term load forecasting-Reference-Cited by-同舟云学术

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Privacy-preserving federated learning for residential short-term load forecasting

Published:2022-11 Issue: Volume:326 Page:119915
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Fernández Joaquín Delgado^ORCID,Menci Sergio Potenciano^ORCID,Lee Chul Min^ORCID,Rieger Alexander^ORCID,Fridgen Gilbert^ORCID

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference94 articles.

1. Electricity load forecasting: a systematic review;Nti;J Electr Syst Inf Technol,2020

2. Forecasting: theory and practice;Petropoulos;Int J Forecast,2022

3. Enhanced load forecasting;ENTSO-E,2021

4. Short-term forecasting in power systems: A guided tour;Muñoz,2010

5. Short-term residential load forecasting: Impact of calendar effects and forecast granularity;Lusis;Appl Energy,2017

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