Forecasting electricity demand for future years is an essential step in resource planning. A common approach is for the system operator to predict future demand from the estimates of individual distribution companies. However, the predictions thus obtained may be of poor quality, since the...

Forecasting is an important tool in planning and policy making. Electricity load forecasting is necessary for power systems planning, efficient dispatching of electricity in the grid and to forecast other macro-economic trends. This paper summarizes and presents auto-regressive...

Electricity load forecasts are an integral part of many decision-making processes in the electricity market. However, most literature on electricity load forecasting concentrates on deterministic forecasts, neglecting possibly important information about uncertainty. A more complete picture of...

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...

This study assesses the accuracy of time-series econometric methods in forecasting electricity demand in developing countries. The analysis of historical time series for 106 developing countries over 1960-2012 demonstrates that econometric forecasts are highly accurate for the majority of these...