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

Ali R. Al-Roomi; Mohamed E. El-Hawary

doi:10.1109/EPEC48502.2020.9319923

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	2020 IEEE Electric Power and Energy Conference, EPEC 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728164892
DOIs	https://doi.org/10.1109/EPEC48502.2020.9319923
Publication status	Published - Nov 9 2020
Event	2020 IEEE Electric Power and Energy Conference, EPEC 2020 - Edmonton, Canada Duration: Nov 9 2020 → Nov 10 2020

Publication series

Name	2020 IEEE Electric Power and Energy Conference, EPEC 2020

Conference

Conference	2020 IEEE Electric Power and Energy Conference, EPEC 2020
Country/Territory	Canada
City	Edmonton
Period	11/9/20 → 11/10/20

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/EPEC48502.2020.9319923

Cite this

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

Peak-load forecasting of nova scotia during winter using support vector machine with optimally configured hyperparameters. / Al-Roomi, Ali R.; El-Hawary, Mohamed E.
2020 IEEE Electric Power and Energy Conference, EPEC 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 9319923 (2020 IEEE Electric Power and Energy Conference, EPEC 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Al-Roomi, AR & El-Hawary, ME 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., 9319923, 2020 IEEE Electric Power and Energy Conference, EPEC 2020, Institute of Electrical and Electronics Engineers Inc., 2020 IEEE Electric Power and Energy Conference, EPEC 2020, Edmonton, Canada, 11/9/20. https://doi.org/10.1109/EPEC48502.2020.9319923

Al-Roomi AR, El-Hawary ME. 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. Institute of Electrical and Electronics Engineers Inc. 2020. 9319923. (2020 IEEE Electric Power and Energy Conference, EPEC 2020). doi: 10.1109/EPEC48502.2020.9319923

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

Publication series

Conference

ASJC Scopus Subject Areas

UN SDGs

Access to Document

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