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Short-term electric load forecasting using fuzzy neural networks

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dc.contributor.author Swain, Anjan Kumar
dc.contributor.author Subudhi, B.*
dc.contributor.author Swain, R.K.*
dc.date.accessioned 2015-03-19T11:41:15Z
dc.date.available 2015-03-19T11:41:15Z
dc.date.issued 1995-02
dc.identifier.uri http://hdl.handle.net/2259/276
dc.description *External Author en_US
dc.description.abstract Short term load forecasting for energy conservation is an ideal choice to keep load curve flat. In this paper, a novel neuro-fuzzy expert system for the initialization of connections and link weights of the neural network. Then, a kalman filter algorithm is used for the weight updation of the network. en_US
dc.language.iso en en_US
dc.publisher Indian journal of power & river valley development en_US
dc.subject Short-term electric load forcasting en_US
dc.subject fuzzy neural networks en_US
dc.subject energy conservation en_US
dc.subject neuro-fuzzy system en_US
dc.title Short-term electric load forecasting using fuzzy neural networks en_US
dc.type Article en_US


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  • Journal Articles [28]
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