Blar i BI Open på forfatter "Fezzi, Carlo"
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Incorporating air temperature into mid-term electricity load forecasting models using time-series regressions and neural networks
Bashiri Behmiri, Niaz; Fezzi, Carlo; Ravazzolo, Francesco (Peer reviewed; Journal article, 2023)One of the most controversial issues in the mid-term load forecasting literature is the treatment of weather. Because of the difficulty in obtaining precise weather forecasts for a few weeks ahead, researchers have, so ... -
Incorporating air temperature into mid-term electricity load forecasting models using time-series regressions and neural networks
Bashiri Behmiri, Niaz; Fezzi, Carlo; Ravazzolo, Francesco (Journal article; Peer reviewed, 2023)One of the most controversial issues in the mid-term load forecasting literature is the treatment of weather. Because of the difficulty in obtaining precise weather forecasts for a few weeks ahead, researchers have, so ... -
Incorporating air temperature into mid-term electricity load forecasting models using time-series regressions and neural networks
Bashiri Behmiri, Niaz; Fezzi, Carlo; Ravazzolo, Francesco (Journal article; Peer reviewed, 2023)One of the most controversial issues in the mid-term load forecasting literature is the treatment of weather. Because of the difficulty in obtaining precise weather forecasts for a few weeks ahead, researchers have, so ... -
Nowcasting industrial production using linear and non-linear models of electricity demand
Galdi, Giulio; Casarin, Roberto; Ferrari, Davide; Fezzi, Carlo; Ravazzolo, Francesco (Peer reviewed; Journal article, 2023)This article proposes different modelling approaches which exploit electricity market data to nowcast industrial production. Our models include linear, mixed-data sampling (MIDAS), Markov-Switching (MS) and MS-MIDAS ...