Abstract: A system with an energy consumption data unit configured to determine an energy consumption data associated with an entity in different cycles. A structural drift identifier unit is configured to classify the energy consumption data into multiple individual drift classes. A non-linear signal extractor unit is configured to extract a set of non-linear signals from the energy consumption data by defining cycles based on the frequency of energy consumption data and evaluating the variance in energy consumption data. The system includes an individual drift class refinement unit configured to refine individual drift classes by eliminating first weak drifts using the set of non-linear signals resulting into refined individual drift classes. A collective drift refinement unit configured to collate and collectively refine individual drift instances of all the refined individual drift classes into refined collective drift classes by eliminating second weak drifts.

Abstract: The present disclosure relates to a method and system for determining potential energy savings for a multisite enterprise by an energy evaluation system. The energy evaluation system receives energy consumption data and plurality of variables associated with plurality of sites and identifies a category for the plurality of variables based on a relationship of the plurality of variables with the energy consumption data. The energy evaluation system further determines one or more significant variables based on an impact of the plurality of variables on the energy consumption data and category of the plurality of variables. The energy evaluation system identifies a plurality of clusters for the multisite enterprise based on the one or more significant variables, evaluates the plurality of clusters of variables and optimizes the plurality of clusters of the plurality of variables based on the evaluation. Based on the evaluation and optimization a potential energy savings is determined.

Abstract: The present disclosure relates to a method and system for determining potential energy savings for a multisite enterprise by an energy evaluation system. The energy evaluation system receives energy consumption data and plurality of variables associated with plurality of sites and identifies a category for the plurality of variables based on a relationship of the plurality of variables with the energy consumption data. The energy evaluation system further determines one or more significant variables based on an impact of the plurality of variables on the energy consumption data and category of the plurality of variables. The energy evaluation system identifies a plurality of clusters for the multisite enterprise based on the one or more significant variables, evaluates the plurality of clusters of variables and optimizes the plurality of clusters of the plurality of variables based on the evaluation. Based on the evaluation and optimization a potential energy savings is determined.