dc.contributor.author | Ireri, T.G | |
dc.contributor.author | Abungu, N.O | |
dc.contributor.author | Murage, D.K | |
dc.date.accessioned | 2018-12-06T05:45:31Z | |
dc.date.available | 2018-12-06T05:45:31Z | |
dc.date.issued | 2007 | |
dc.identifier.citation | Proceedings of Mechanical Engineering Annual Conference | en_US |
dc.identifier.uri | http://ir.mksu.ac.ke/handle/123456780/2117 | |
dc.description.abstract | This paper presents a method of short term load forecasting using artificial neural network (ANN). A three layered feed-forward neural network, trained by scaled conjugate back-propagation, is used. Two models of ANN were tested and compared. The models are applied to real data from the Cape Town Control Centre. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
dc.subject | Artificial Intelligence | en_US |
dc.subject | Artificial Neural Networks | en_US |
dc.subject | Short-term load forecasting | en_US |
dc.title | Short Term Load Forecasting Using Artificial Neural Network | en_US |
dc.type | Presentation | en_US |