Predictive artificial neural network models to forecast the seasonal hourly electricity consumption for a University Campus

This paper proposes artificial neural network (ANN) models to forecast the seasonal hourly electricity consumption for three areas of a university campus, Japan. A total of six parameters including day of week, hour of day, hourly dry-bulb temperature, hourly relative humidity, hourly global irradiance, and previous hourly electricity consumption are used as input variables. The ANN models are developed to predict the future seasonal hourly...