Forecasting Monthly Electricity Demands by Wavelet Neuro-Fuzzy System Optimized by Heuristic Algorithms

Forecasting Monthly Electricity Demands by Wavelet Neuro-Fuzzy System Optimized by Heuristic Algorithms

Electricity load forecasting plays a paramount role in capacity planning, scheduling, and the operation of power systems. Reliable and accurate planning and prediction of electricity load are therefore vital. In this study, a novel approach for forecasting monthly electricity demands by wavelet tran...

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Bibliographic Details
Main Authors: Jeng-Fung Chen, Quang Hung Do, Thi Van Anh Nguyen, Thi Thanh Hang Doan
Format: Article
Language:English
Published: MDPI AG 2018-02-01
Series:Information
Subjects:
wavelet transform
neuro-fuzzy system
Cuckoo Search
Cuckoo Optimization Algorithm
Gravitational Search Algorithm
neural networks
forecasting
monthly electricity demand
Vietnam
Online Access:http://www.mdpi.com/2078-2489/9/3/51

Internet

http://www.mdpi.com/2078-2489/9/3/51

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