Short Term Load Forecasting Based Artificial Neural Network
Present study develops short term electric load forecasting using neural network; based on historical series of power demand the neural network chosen for this network is feed forward network, this neural network has five input variables ( hour of the day, the day of the week, the load for the previ...
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| Format: | Article |
| Language: | English |
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College of Engineering, University of Basrah
2014-06-01
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| Series: | Iraqi Journal for Electrical and Electronic Engineering |
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| Online Access: | http://ijeee.org/volums/volume10/IJEEE10PDF/paper105.pdf |