International Business Machines Corporation

Rajendu Mitra

Vijay Arya

Sambaran Bandyopadhyay

Mohit Jain

Ramachandra Kota

Rama C Kota

Methods, systems, and computer program products for prioritizing errors in connectivity models of distribution networks are provided herein. A computer-implemented method includes collecting geo-spatial data arising from each of multiple transformers and multiple customer meters within an electric power distribution network; collecting load data arising from each of the customer meters within the electric power distribution network; assigning one of the transformers to each of the customer meters that is not presently assigned to one of the transformers according to a connectivity model for the distribution network, wherein said assigning is based on the collected multiple items of geo-spatial data and the collected load data; computing an error probability attributable to each of the transformers and the customer meters assigned thereto within the electric power distribution network based on multiple variables; and modifying an existing field inspection schedule corresponding to the electric power distribution network based on said computing.

Identifying and prioritizing errors in connectivity models of distribution networks for efficient field inspections

One embodiment provides a method for improving cartographic data using utility data, the method including: obtaining cartographic information; obtaining geo-location information associated with at least one utility asset; utilizing at least one processor to execute computer code that performs the steps of: generating, based on the geo-location information, a cartographic representation of the at least one utility asset; and modifying, based on the cartographic representation, the cartographic information. Other aspects are described and claimed.

Cartographic data using utility data

Techniques, systems, and articles of manufacture for voltage-based clustering to infer connectivity information in smart grids. A method includes clustering multiple voltage time series measurements into one or more groups, wherein said multiple voltage time series measurements are derived from one or more sensors; determining a connectivity model based on the one or more groups; comparing the determined connectivity model to an existing connectivity model to detect one or more inconsistencies between the determined connectivity model and the existing connectivity model; and updating the existing connectivity model based on said one or more detected inconsistencies.

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Sambhal, India

Rajendu Mitra