Call For Paper Volume:4 Issue:10 Oct'2017 |

Short Term Load Forecasting Based on Influencing Factors Using ANN.

Publication Date : 28/07/2015



Author(s) :

Sweta Shah , Dr. H. N. Nagaraja.


Volume/Issue :
Volume 2
,
Issue 7
(07 - 2015)



Abstract :

Now a days, load forecasting has become one of the major areas of research in electrical engineering. STLF(Short term load forecast) is essential for Power system planning and economic load dispatch. A large variety of mathematical methods have been developed for load forecasting. This research presents influencing factors for STLF and an ANN-based short term load forecasting (STLF) model for MGVCL load. It includes ANN model with their comparative errors by using feed-forward network with sigmoid hidden neurons and linear output neurons. The network will be trained with Levenberg-Marquardt back propagation algorithm. In order to investigate the result, have to check the performance of model during training, validation and testing. Our aim is to develop best suited model for MGVCL, by critically evaluating the ways in which the NNs proposed in these research will designed and tested.


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Short Term Load Forecasting Based on Influencing Factors Using ANN.

July 27, 2015