Peak-load forecasting of nova scotia during winter using support vector machine with optimally configured hyperparameters

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)
Original languageEnglish
Title of host publication2020 IEEE Electric Power and Energy Conference, EPEC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728164892
DOIs
Publication statusPublished - Nov 9 2020
Event2020 IEEE Electric Power and Energy Conference, EPEC 2020 - Edmonton, Canada
Duration: Nov 9 2020Nov 10 2020

Publication series

Name2020 IEEE Electric Power and Energy Conference, EPEC 2020

Conference

Conference2020 IEEE Electric Power and Energy Conference, EPEC 2020
Country/TerritoryCanada
CityEdmonton
Period11/9/2011/10/20

ASJC Scopus Subject Areas

  • Information Systems and Management
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Control and Optimization

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Al-Roomi, A. R., & El-Hawary, M. E. (2020). Peak-load forecasting of nova scotia during winter using support vector machine with optimally configured hyperparameters. In 2020 IEEE Electric Power and Energy Conference, EPEC 2020 Article 9319923 (2020 IEEE Electric Power and Energy Conference, EPEC 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EPEC48502.2020.9319923