Mid-Term Energy Demand Forecasting by Hybrid Neuro-Fuzzy Models
نویسندگان
چکیده
منابع مشابه
Mid-Term Energy Demand Forecasting by Hybrid Neuro-Fuzzy Models
This paper proposes a structure for long-term energy demand forecasting. The proposed hybrid approach, called HPLLNF, uses the local linear neuro-fuzzy (LLNF) model as the forecaster and utilizes the Hodrick–Prescott (HP) filter for extraction of the trend and cyclic components of the energy demand series. Besides, the sophisticated technique of mutual information (MI) is employed to select the...
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ژورنال
عنوان ژورنال: Energies
سال: 2011
ISSN: 1996-1073
DOI: 10.3390/en5010001