Short-term electricity load forecasting—A systematic approach from system level to secondary substations-Reference-Cited by-同舟云学术

Short-term electricity load forecasting—A systematic approach from system level to secondary substations

Published:2023-02 Issue: Volume:332 Page:120493
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Pinheiro Marco G.^ORCID,Madeira Sara C.,Francisco Alexandre P.^ORCID

Publisher

Elsevier BV

Subject

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

Reference84 articles.

1. The next phase of the energy transition and its implications for research and policy;Markard;Nat Energy,2018

2. Assessing increased flexibility of energy storage and demand response to accommodate a high penetration of renewable energy sources;Nikoobakht;IEEE Trans Sustain Energy,2018

3. Smart charging strategies for electric vehicles: Enhancing grid performance and maximizing the use of variable renewable energy resources;Lopes,2009

4. A green hydrogen economy for a renewable energy society;Oliveira;Curr Opin Chem Eng,2021

5. Short term electric load forecasting;Hong,2010

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