Short-term load forecasting method based on fuzzy time series, seasonality and long memory process
Seasonal Auto Regressive Fractionally Integrated Moving Average (SARFIMA) is a well-known model for forecasting of seasonal time series that follow a long memory process. However, to better boost the accuracy of forecasts inside such data for nonlinear problem, in this study, a combination of Fuzzy...
Main Authors: | Sadaei, Hossein Javedani, Guimaraes, Frederico Gadelha, Cidiney Jose, Da Silva, Lee, Muhammad Hisyam @ Wee Yew, Tayyebe, Eslami |
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Format: | Article |
Published: |
Elsevier Science BV
2017
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Subjects: |
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