Fuzzy wavelet neural network for prediction of electricity consumption

被引：22

作者：

Abiyev, Rahib H. ^{[1
]}

机构：

[1] Near East Univ, Dept Comp Engn, Trnc, TR-10 Lefkosa, Mersin, Turkey

来源：

AI EDAM-ARTIFICIAL INTELLIGENCE FOR ENGINEERING DESIGN ANALYSIS AND MANUFACTURING | 2009年 / 23卷 / 02期

关键词：

Fuzzy Wavelet Neural Network; Neurofuzzy Modeling; Prediction of Electricity Consumption; Time Series Prediction; Wavelet Network; TIME-SERIES; ENERGY-CONSUMPTION; DEMAND;

D O I：

10.1017/S0890060409000018

中图分类号：

TP18 [人工智能理论];

学科分类号：

140502 [人工智能];

摘要：

The development of a fuzzy wavelet neural network (FWNN) for the prediction of electricity consumption is presented. The fuzzy rules that contain wavelets are constructed. Based on these rules, the structure of FWNN-based system is described. The FWNN system is applied for modeling and prediction of complex time series. The gradient algorithm and genetic algorithm are used for learning of FWNN parameters. The developed FWNN is applied for prediction of electricity consumption. This process has high-order nonlinearity. The statistical data for the last 10 years are used for the development 4 FWNN prediction model. The effectiveness of the proposed system is evaluated with the results obtained from the simulation of FWNN-based prediction system and with the comparative simulation results of previous related models.

引用

页码：109 / 118

页数：10

共 41 条

[1]

Forecasting monthly electric energy consumption in eastern Saudi Arabia using univariate time-series analysis [J].

AbdelAal, RE ;

AlGarni, AZ .

ENERGY, 1997, 22 (11) :1059-1069

[2]

AbdelAal RE, 1997, ENERGY, V22, P911, DOI 10.1016/S0360-5442(97)00019-4

[3]

Abiyev RH, 2006, LECT NOTES COMPUT SC, V4132, P191

[4]

Abiyev RH, 2005, Proceedings of the 2005 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, P215

[5]

Al-Shehri A, 1999, INT J ENERG RES, V23, P649, DOI 10.1002/(SICI)1099-114X(19990625)23:8<649::AID-ER490>3.0.CO

[6]

2-T

[7]

THE USE OF GROWTH-CURVES IN ENERGY STUDIES [J].

ANG, BW ;

NG, TT .

ENERGY, 1992, 17 (01) :25-36

[8]

Box GEP, 1994, Time Series Analysis: Forecasting and Control, V3rd

[9]

Predicting chaotic time series with wavelet networks [J].

1600, Elsevier Science B.V., Amsterdam, Netherlands (85) :1-2

[10]

Estimating energy demand of Turkey based on economic indicators using genetic algorithm approach [J].

Ceylan, H ;

Ozturk, HK .

ENERGY CONVERSION AND MANAGEMENT, 2004, 45 (15-16) :2525-2537

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