Variable Weighted Multi-Objective Multi-Dimensional Genetic Algorithm for Demand Response Scheduling in a Smart Grid

Monyei, CG, Chong, BVP, Aderemi, AO et al. (2 more authors) (2016) Variable Weighted Multi-Objective Multi-Dimensional Genetic Algorithm for Demand Response Scheduling in a Smart Grid. In: Proceedings of ICCE 2016: International Conference & Exhibition on Clean Energy. ICCE2016: 5th International Conference & Exhibition on Clean Energy, 22-24 Aug 2016, Montreal, Canada. International Academy of Energy, Minerals & Materials , pp. 50-62. ISBN 9781771365093

Abstract

Metadata

Authors/Creators:
  • Monyei, CG
  • Chong, BVP
  • Aderemi, AO
  • Okelue, ED
  • Okonta, CI
Copyright, Publisher and Additional Information: This is an author produced version of a paper accepted for publication in Proceedings of ICCE 2016: International Conference & Exhibition on Clean Energy.
Keywords: MOMD-GA; scheduling; demand response; environmental; penalties; system operators
Dates:
  • Published: 22 August 2016
  • Accepted: 20 June 2016
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 30 Sep 2016 10:10
Last Modified: 22 Jul 2019 13:46
Status: Published
Publisher: International Academy of Energy, Minerals & Materials

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