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 |