72 research outputs found

    SHAPE: The load prediction and non-technical losses modules

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    Data Analytics applied in the electric sector has been leveraged in the recent years, primarily owing to the introduction worldwide of Automatic Meter Reading/Management and smart grids technologies operated by electric Utilities. Utilities have to face with return of investment from this infrastructure and at the same time have to fulfil the promise of providing better and innovative service to the customer, retailer and distribution network. This paper deals with the innovative SHAPE Web software platform for Data Analytics applied to the load patterns sourced from the Italian Enel network’s smart meters. A previous contribution reported on the customer classification and segmentation modules implemented in the SHAPE platform. This work describes the Load prediction and Non-technical losses modules. The SHAPE Datawarehouse (DW) currently stores four years of progressively updated customer’s load patterns
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