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Usage of artificial neural networks in the energy sector

The work covers non-traditional methods of forecasting, in particular, methods using artificial neural networks. The article considers such vital moments as: neural network configuration, normalization of input data, also random factors which have influence on the accuracy of load forecasts, are tak...

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Bibliographic Details
Main Author: Lazarenko, D.V.
Format: Article
Language:English
Published: Інститут проблем штучного інтелекту МОН України та НАН України 2016
Series:Штучний інтелект
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Online Access:http://dspace.nbuv.gov.ua/handle/123456789/132091
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Summary:The work covers non-traditional methods of forecasting, in particular, methods using artificial neural networks. The article considers such vital moments as: neural network configuration, normalization of input data, also random factors which have influence on the accuracy of load forecasts, are taken into account. Comparative characteristics of effectiveness of artificial neural networks and artificial neural networks with fuzzy logic are given.