Integration of machine learning with economic energy scheduling-Reference-Cited by-同舟云学术

Integration of machine learning with economic energy scheduling

Published:2022-11 Issue: Volume:142 Page:108343
ISSN:0142-0615
Container-title:International Journal of Electrical Power & Energy Systems
language:en
Short-container-title:International Journal of Electrical Power & Energy Systems

Author:

Goni Md. Omaer Faruq,Nahiduzzaman Md.,Anower Md. Shamim,Kamwa Innocent,Muyeen S.M.

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference38 articles.

1. Economic dispatch using particle swarm optimization: A review;Mahor;Renew Sustain Energy Rev,2009

2. Probabilistic approach for fault-section estimation in power systems based on a refined genetic algorithm;Wen;IEE Proc, Gener Transm Distrib,1997

3. Particle swarm approach based on quantum mechanics and harmonic oscillator potential well for economic load dispatch with valve-point effects;dos Santos Coelho;Energy Convers Manage,2008

4. Performance of various metaheuristic techniques for economic dispatch problem with valve point loading effects and multiple fueling options;Ahmed;Adv Electr Eng,2014

5. Solution of different types of economic load dispatch problems using a pattern search method;Al-Sumait;Electr Power Compon Syst,2008

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