Абстрактный

Evolutionary Load Forecasting using Artificial Neural Network

Syeda Samreen Saba, Nilajkar.R.M

The anticipated effort targets to predict the load by utilizing Artificial Neural Networks (ANN). Short term load forecasting acts an important character for the economic, planning and reliable action of power systems. Consequently, numerous statistical techniques have been conventionally projected for these forecasting, but it have become tiring to build an exact functional model. This tiring task can be decreased by using ANN. ANN is a machine which is devised to model in fashion which the human brain does a particular task. The main intension of the anticipated effort is to build a NN model known as an Elman recurrent network on the flat form of MATLAB to simulate the load prediction. We also evaluate the results attained by weather and a non-weather sensitive model