System load forecasting is very essential part for the power system planning and operation. In this paper, the modeling and design of artificial neural network for load forecasting is carried out in a particular region of India. Neural network approach helps to reduce the problem associated with conventional method and has the advantage of learning directly from the historical data. The neural network here uses data such as past load, weather information like humidity and temperatures. Once the neural network is trained for the past set of data it can give a prediction of future load.