Browsing Handelshøyskolen BI by Journals "Energy"
Now showing items 1-4 of 4
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Incorporating air temperature into mid-term electricity load forecasting models using time-series regressions and neural networks
(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
(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
(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 ... -
Social sustainability of energy infrastructures: The role of the programme governance framework
(Peer reviewed; Journal article, 2023)The energy infrastructure literature focuses on the economic and environmental dimensions of sustainability, neglecting the social dimension. Particularly obscure is how the programme governance frameworks of energy projects ...