Short-Term Electric Power Forecasting Using Dual-Stage Hierarchical Wavelet- Particle Swarm Optimization- Adaptive Neuro-Fuzzy Inference System PSO-ANFIS Approach Based On Climate Change

Short-Term Electric Power Forecasting Using Dual-Stage Hierarchical Wavelet- Particle Swarm Optimization- Adaptive Neuro-Fuzzy Inference System PSO-ANFIS Approach Based On Climate Change

Analyzing electrical power generation for a wind turbine has associated inaccuracies due to fluctuations in environmental factors, mechanical alterations of wind turbines, and natural disaster. Thus, development of a highly reliable prediction model based on climatic conditions is crucial in forecas...

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Bibliographic Details
Main Authors: Samuel Atuahene, Yukun Bao, Yao Yevenyo Ziggah, Patricia Semwaah Gyan, Feng Li
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Energies
Subjects:
electrical power
fuzzy logic
PSO
ANFIS
forecasting
optimization
Online Access:http://www.mdpi.com/1996-1073/11/10/2822

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