| 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 |