Short-term residential load forecasting: Impact of calendar effects and forecast granularity

•Investigation of the impact of data resolution and calendar effects.•Support vector regression yields a higher accuracy for a day-ahead load forecast.•The forecast error can be reduced by using coarser forecast granularity.•Calendar effects added to the model as dummy variables have little predictive power.•One year of historical data is sufficient to develop a load forecast model.