Predicting Electricity Demand in Low-Voltage Distribution Networks Using an Optimized Support Vector Regression
Department of Electrical and Automation, Faculty of Engineering Technology, University College TATI, Kemaman, Terengganu; Abdul Halim Ikram Mohamed; Ruzlaini Ghoni; Department of Electrical and Automation, Faculty of Engineering Technology, University College TATI, Kemaman, Terengganu; Mohd Tarmizi Ibrahim; Department of Electrical and Automation, Faculty of Engineering Technology, University College TATI, Kemaman, Terengganu
- Published
- Publisher
- Penerbit Universiti Kebangsaan Malaysia (UKM Press)
- Journal / collection
- Jurnal Kejuruteraan
- Research area
- Energy & infrastructure
- Source type
- Journal article
- DOI
- 10.17576/jkukm-2025-37(5)-31
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Cite this source
Department of Electrical and Automation, Faculty of Engineering Technology, University College TATI, Kemaman, Terengganu; Abdul Halim Ikram Mohamed; Ruzlaini Ghoni; Department of Electrical and Automation, Faculty of Engineering Technology, University College TATI, Kemaman, Terengganu; Mohd Tarmizi Ibrahim; Department of Electrical and Automation, Faculty of Engineering Technology, University College TATI, Kemaman, Terengganu. Predicting Electricity Demand in Low-Voltage Distribution Networks Using an Optimized Support Vector Regression. Jurnal Kejuruteraan. 2025-08-30. https://doi.org/10.17576/jkukm-2025-37(5)-31