Forecasting plays an essential role in energy economics. With new challenges and use cases in the energy system, forecasts have to meet more complex requirements, such as increasing temporal and spatial resolution of data. The concept of machine learning can meet these requirements by providing...

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...