The present work attempts to evaluate the advantages inherent to the use of exogenous variables highly correlated to the electric load, for the forecast of future demand. Here we utilize time series models of the auto-regressive moving average types incorporating seasonal treatment and exogenous...

In this paper we suggest a novel inhomogeneous Markov switching approach for probabilistic forecasting of electricity load of industrial companies, for which the load switches at random times between a production and a standby regime. The model we propose describes the transitions between the...