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 … median. We propose a new methodology to obtain probabilistic forecasts of electricity load, that is based on functional data …

Electricity demand is modeled as a time-varying parameters (TVP) vector autoegression with or without imposing … RMSE and MAE, and compared trough the Diebold Mariano statistic. On the other hand, forecast intervals of Bayesian models …

a market. -- Forecast of electricity demand ; power generation planning ; implementation of prediction markets …Forecasting electricity demand for future years is an essential step in resource planning. A common approach is for the … of forecasting future demand for electricity. We describe how to implement a simple prediction market for continuous …