The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL
Transactions ID Number: 52-384
Full Name: Shahril Irwan Sulaiman
Position: Senior Lecturer
Age: ON
Sex: Male
Address: Faculty of Electrical Engineering
Country: MALAYSIA
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E-mail address: shahril_irwan2004@yahoo.com
Other E-mails: shahril@salam.uitm.edu.my
Title of the Paper: Evolutionary Programming Versus Artificial Immune System in Evolving Neural Network for Grid-connected Photovoltaic System Output Prediction
Authors as they appear in the Paper: Shahril irwan Sulaiman, Titik khawa Abdul Rahman, Ismail Musirin, Sulaiman Shaari
Email addresses of all the authors: shahril_irwan2004@yahoo.com,khawa@salam.uitm.edu.my,i_musirin@yahoo.co.uk,solarman_s@yahoo.com
Number of paper pages: 10
Abstract: This paper presents the evolutionary neural networks for the prediction of energy output from a grid-connected photovoltaic (GCPV) system. Two evolutionary neural network (ENN) models have been proposed using evolutionary programming and artificial immune system (AIS) respectively. The artificial neural network (ANN) employed for these models utilized solar radiation and ambient temperature as its input whereas the kilowatt-hour energy of the GCPV system is the only targeted output. The evolution of ANN involves the search of the optimal number of nodes, the learning rate, the momentum rate, the transfer function and the learning algorithm of a single-hidden layer multi-layer feedforward ANN. The results showed that evolutionary programming-ANN (EPANN) outperformed artificial immune system-ANN (AISANN) in terms of correlation coefficient, R as well as computation time. In addition, EPANN had also produced better convergence of the evolving parameters compared to th!
e AISANN.
Keywords: artificial neural network (ANN),photovoltaic (PV),correlation coefficient (R), evolutionary programming (EP), artificial immune system (AIS)
EXTENSION of the file: .doc
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How Did you learn about congress: artificial neural network and photovoltaic systems
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