This paper deals with an innovative Web software platform for Business Analytics applied to the load patterns sourced from the Enel network’s smart meters. Using ad hoc developed advanced time series analysis, the SHAPE (Statistical Hybrid Analysis for load ProfilE) platform enables the Data Analyst to solve in a user-friendly Rich Internet Applications (RIA) important tasks such as hourly energy analysis, customer classification, load prediction, and non-technical losses detection. The platform, developed within a R&D project, represents a tangible example of Applied Research-Industry knowledge transfer. By means of a Web Service interface, the platform exposes and shares the implemented models with other Corporate or third- party applications. The SHAPE datawarehouse currently stores three years progressively updated of load patterns for about 100,000 measurement points at the customers’ premises.
SHAPE: A new Business Analytics web platform for getting insights on electrical load patterns / Diego, Labate; Paolo, Giubbini; Chicco, Gianfranco; Mario, Ettorre. - ELETTRONICO. - (2014), p. paper 0354. (Intervento presentato al convegno CIRED Workshop “Challenges of implementing active distribution system management” tenutosi a Rome, Italy nel 11-12 June 2014).
SHAPE: A new Business Analytics web platform for getting insights on electrical load patterns
CHICCO, GIANFRANCO;
2014
Abstract
This paper deals with an innovative Web software platform for Business Analytics applied to the load patterns sourced from the Enel network’s smart meters. Using ad hoc developed advanced time series analysis, the SHAPE (Statistical Hybrid Analysis for load ProfilE) platform enables the Data Analyst to solve in a user-friendly Rich Internet Applications (RIA) important tasks such as hourly energy analysis, customer classification, load prediction, and non-technical losses detection. The platform, developed within a R&D project, represents a tangible example of Applied Research-Industry knowledge transfer. By means of a Web Service interface, the platform exposes and shares the implemented models with other Corporate or third- party applications. The SHAPE datawarehouse currently stores three years progressively updated of load patterns for about 100,000 measurement points at the customers’ premises.Pubblicazioni consigliate
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https://hdl.handle.net/11583/2583549
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