This paper introduces a Generalised Additive Model (GAM) to link high frequency intraday (5-minute) aggregate electricity demand in Australia to the time of the day and intra-day temperature. We show a superior model fit when using Daylight Saving Time (DST), or clock time, instead of the...

The electricity demand has been steadily increasing throughout the years. A robust predictive model is required to prepare for future electricity consumption. This paper applied the ARIMA models to forecast electricity consumption in the Philippines. Dataset used was retrieved from the...