Effect of real-time price on short-term load forecasting

This paper presents a short-term load forecasting model using the backpropagation neural network (BPNN) model. The proposed model is based on data on loads and factors that directly affect electricity demand, such as temperature, humidity, load over time in the past, etc., collected from the electricity market ISO New England.