Short Term Load Forecasting With Perceptron Artificial Neural Network
Short term load forecasting is important in predicting and analysis power distribution for a short period of time in many places. This project paper present the use of perceptron artificial neural network model for short term load forecasting in power distribution systems. Thus, this proposed pro...
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| Format: | Monograph |
| Published: |
UTeM
2010
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| Online Access: | http://library.utem.edu.my:8000/elmu/index.jsp?module=webopac-d&action=fullDisplayRetriever.jsp&szMaterialNo=0000063946 http://library.utem.edu.my:8000/elmu/index.jsp?module=webopac-d&action=fullDisplayRetriever.jsp&szMaterialNo=0000063946 http://eprints.utem.edu.my/3428/1/Short_Term_Load_Forecasting_With_Perceptron_Artificial_Neural_Network_Khairul_Anuar_Bin_Mohd_Padzil_TK1005.K42_2010.pdf http://eprints.utem.edu.my/3428/2/Short_Term_Load_Forecasting_With_Perceptron_Artificial_Neural_Network_Khairul_Anuar_Bin_Mohd_Padzil_TK1005.K42_2010.pdf |
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| Summary: | Short term load forecasting is important in predicting and analysis power distribution
for a short period of time in many places. This project paper present the use of perceptron
artificial neural network model for short term load forecasting in power distribution systems.
Thus, this proposed project involves with case study and Matlab software implementation to
come out with a model that can forecast future load for a week ahead. The expecting load
forecast is to get minimum forecasting error of at least 1.5 percent. Furthermore, the suitability
of the proposed approach is illustrated through an application to real load shapes provided
utility of Malaysia. The data represent half hourly load data for 6 weeks in Peninsular
Malaysia. |
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