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Keywords
(6)
Electric Power System
Power System
Short Term Load Forecasting
Neural Network
Transfer Function
Wavelet Neural Network
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Wavelet neural network based short term load forecasting of electric power system commercial load
Wavelet neural network based short term load forecasting of electric power system commercial load,10.1109/CCECE.1999.804865,A. Oonsivilai,M. E. ElHaw
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Wavelet neural network based short term load forecasting of electric power system commercial load
(
Citations: 25
)
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A. Oonsivilai
,
M. E. ElHawary
In an
electric power
system, the system load consists of domestic, commercial, industrial and municipal load sectors. This paper presents an approach for predicting
electric power system
commercial load using a wavelet neural network. Morlet and Mexican hat wavelets are used to generate the transfer functions of hidden layer nodes of the neural network. A
wavelet neural network
is trained for a particular
power system
load. Results show that wavelet neural networks may outperform traditional architectures in approximation and forecasting problems related to
electric power system
Conference:
Canadian Conference on Electrical and Computer Engineering  CCECE
, vol. 3, pp. 12231228 vol.3, 1999
DOI:
10.1109/CCECE.1999.804865
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Citation Context
(13)
...Hybrid neural networks are verified for load forecasting tasks also, such as wavelet neural network, bilinear Recurrent Neural Network, neural fuzzy network and evolving fuzzy neural network [
1114
]...
Qingsong Song
,
et al.
Hourly electric load forecasting algorithm based on echo state neural ...
...Hybrid neural networks are verified for system modeling tasks also, such as wavelet neural network, bilinear Recurrent Neural Network, neural fuzzy network and evolving fuzzy neural network, and even ensemble neural network approach [
27
]...
Qingsong Song
,
et al.
Improved recursive least squares algorithm based on echo state neural ...
...Another technique of wavelet neural network is used in power system operations as shown in [
9
]...
A. Oonsivilai
,
et al.
Negotiation model for generating units balancing in optimal dispatch b...
...As no explicit models are required, quick convergence and effective classification [17], [
18
], the neural networks have emerged to avoid insufficiency of above methods and provide a very appealing approach to estimate nonlinear changing of power and delay of DG. Especially, the wavelet neural networks (WNN) has been widely known and successfully used in most estimation systems...
Jinhui Wang
,
et al.
Fanin sensitive low power dynamic circuits performance statistical ch...
...Due to the quick convergence, effective classification and highly accuracy, the wavelet neural networks (WNN) has been widely known and successfully used in most control systems and information processing systems [7][
8
]...
Jinhui Wang
,
et al.
Estimation for Speed and Leakage Power of Dual Threshold Domino OR Bas...
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Citations
(25)
Hourly electric load forecasting algorithm based on echo state neural network
Qingsong Song
,
Xiangmo Zhao
,
Zuren Feng
,
Yisheng An
,
Baohua Song
Conference:
Control and Decision Conference, Chinese  CCDC
, 2011
Improved recursive least squares algorithm based on echo state neural network for nonlinear system identification
Qingsong Song
,
Xiangmo Zhao
,
Zuren Feng
Published in 2011.
Intelligent Hybrid Wavelet Models for ShortTerm Load Forecasting
(
Citations: 2
)
Ajay Shekhar Pandey
,
Devender Singh
,
Sunil Kumar Sinha
Journal:
IEEE Transactions on Power Systems  IEEE TRANS POWER SYST
, vol. 25, no. 3, pp. 12661273, 2010
Negotiation model for generating units balancing in optimal dispatch based on power system contingencies using agents
A. Oonsivilai
,
K. A. Greyson
Published in 2010.
Fanin sensitive low power dynamic circuits performance statistical characterization
Jinhui Wang
,
Na Gong
,
Wuchen Wu
,
Ligang Hou
Published in 2010.