NDLI: Hybrid forecasting model-based data mining and genetic algorithm-adaptive particle swarm optimisation: a case study of wind speed time series

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Volume 10 (2016) : Issue 2, Feb

Volume 10 (2016) : Issue 1, Jan

IET Science, Measurement & Technology

IET Signal Processing

IET Wireless Sensor Systems

Micro & Nano Letters

The Journal of Engineering

Hybrid forecasting model-based data mining and genetic algorithm-adaptive particle swarm optimisation: a case study of wind speed time series

Content Provider	IET Digital Library
Author	Wang, Jianzhou Zhang, Fanyong Liu, Feng Ma, Jianjun
Abstract	Wind energy has been part of the fastest growing renewable energy sources and is clean and pollution-free. Wind energy has been gaining increasing global attention, and wind speed forecasting plays a vital role in the wind energy field. However, such forecasting has been demonstrated to be a challenging task due to the effect of various meteorological factors. This study proposes a hybrid forecasting model that can effectively provide preprocessing for the original data and improve forecasting accuracy. The developed model applies a genetic algorithm-adaptive particle swarm optimisation algorithm to optimise the parameters of the wavelet neural network (WNN) model. The proposed hybrid method is subsequently examined in regard to the wind farms of eastern China. The forecasting performance demonstrates that the developed model is better than some traditional models (for example, back propagation, WNN, fuzzy neural network, and support vector machine), and its applicability is further verified by the paired-sample T tests.
Starting Page	287
Ending Page	298
Page Count	12
ISSN	17521416
Volume Number	10
e-ISSN	17521424
Issue Number	Issue 3, Mar (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rpg/10/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rpg.2015.0010
Journal	IET Renewable Power Generation
Publisher Date	2016-03-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Data Mining Eastern China Energy ReSource Genetic Algorithm Genetic Algorithm-adaptive Particle Swarm Optimisation Algorithm Hybrid Forecasting Model-based Data Mining Knowledge Engineering Technique Neural Computing Technique Optimisation Technique Paired-sample T Test Particle Swarm Optimisation Power Engineering Computing Renewable Energy Source Wavelet Neural Nets Wavelet Neural Network Model Weather Analysis And Prediction Weather Forecasting Wind Energy Wind Farm Wind Power Wind Power Plant Wind Speed Forecasting Wind Speed Time Series Winds And Their Effect in The Lower Atmosphere WNN Model
Content Type	Text
Resource Type	Article
Subject	Renewable Energy, Sustainability and the Environment

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