Data selection and fuzzy-rules generation for short-term load forecasting using ANFIS
This paper focused on data analysis, with aim of determining the actual variables that affect the load consumption in short term electric load forecasting. Correlation analysis was used to determine how the load consumption is related to the forecasting variables (model inputs), and hypothesis test...
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Main Authors: | Mustapha, M., Mustafa, M. W., Khalid, S. N. |
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Format: | Article |
Published: |
Universitas Ahmad Dahlan
2016
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Online Access: | http://eprints.utm.my/id/eprint/69126/ http://dx.doi.org/10.12928/TELKOMNIKA.v14i3.3413 |
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