The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The primary aim of this study is to develop a new forecasting system for hourly electricity load in six Italian macro-regions. The statistical methodology is centered around a dynamic regression model in which important external predictors are included in a seasonal autoregressive integrate moving average process (sarimax). Specifically, the external variables are lagged hourly loads and calendar...
Recently there has been increased interest in methods for aggregating multiple matrices observed on a fixed set of entities, where each matrix expresses a particular notion of the dissimilarity of one entity from another. An optimization-based procedure is developed, which returns a global dissimilarity matrix in the form of a weighted average of the partial matrices. The weights are determined with...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.