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http://hdl.handle.net/2080/674
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| Title: | Short Term Load Forecasting using Neural Network trained with Genetic Algorithm |
| Authors: | Mishra, Sanjib
Patra, S K |
| Keywords: | Short term load forecasting
Genetic Algorithm
Back Propagation |
| Issue Date: | 2008 |
| Citation: | Proceedings of the National Conference on "Power Conversion, systems, drives, control technology conferences - 2008 Dindigul, Tamilnadu |
| Abstract: | A computationally efficient artificial neural network
for the purpose of short term load forecasting is proposed. The
major drawback of feed forward neural networks such as a
multilayer perceptron (MLP) or dynamic neural network such as
Hopfield, Elman, MFLNN trained with back propagation
algorithm is that it requires a large amount of computation for
learning. We propose a three-layer multi layer neural network
trained with genetic algorithm in which the need for
computationally intensive back propagation is eliminated. The
results of which are better than a MLP trained by back
propagation algorithm, which require more number of hidden
neurons. The whole project is carried out for Orissa Power
Transmission Corporation Limited, taking into the load data of
Orissa. |
| Description: | Copyright for the paper belongs to the proceedings publisher |
| URI: | http://hdl.handle.net/2080/674 |
| Appears in Collections: | Conference Papers
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| smishra-conf.pdf | | 266Kb | Adobe PDF | View/Open |
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