A statistical data selection approach for short-term load forecasting using optimized ANFIS

• Main Authors: Mustapha, M., Mustafa, M. W., Salisu, S., Abubakar, I., Hotoro, A. Y.
• Format: Conference or Workshop Item
• Language: English
• Published: 2020
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/92354/1/MWMustafa2020_AStatisticalDataSelectionApproachforShortTerm.pdf; http://eprints.utm.my/id/eprint/92354/; http://dx.doi.org/10.1088/1757-899X/884/1/012075

Volume of the forecasting data and good data analysis are the key factors that influence the accuracy of forecasting algorithm because it depends on data identification and model parameters. This paper focuses on data selection approach for short-term load forecasting. It involves formulating data s...