Abstract: A technique for determining and presenting marketing scenarios based on market characteristics are described herein. The technique includes receiving data regarding market environment and an expected change in the market environment. A number of market characteristics are calculated based on the collected data for a number of alternative marketing scenarios for addressing the change. A number of graphical objects corresponding to the marketing scenarios are displayed in a coordinate system to show correlation between a number of selected market characteristics. A number of additional components are assigned to the graphical objects to indicate additional characteristics of the presented marketing scenarios.

Abstract: A benchmarking computing application is configured to create a benchmark run for a segment of customer profiles. Customer profiles from the segment include a parameter, termed an adjustment parameter, that may affect energy consumption by the associated customer. The results of the benchmark run include energy consumption values for individual customer profiles in the segment, an average energy consumption value for the entire segment of customer profiles, and also adjustment energy consumption value. The adjustment energy consumption value reflects the portion of energy consumption by a particular customer attributed to the difference between the average value of the adjustment parameter for the segment and the value of the adjustment parameter for the particular customer profile.

Abstract: A method and system to determine customer segmentation based on energy consumption patterns is provided. An example system includes a communications module, a clustering module, and a matching module. The communications module obtains energy consumption data in the form of a plurality of value days. The clustering module groups the value days associated with a certain period of time into a set of clusters. The matching module identifies a customer profile as associated with a cluster from the set of clusters based on results of examining value days associated with the customer profile.

Abstract: A benchmarking computing application is configured to create a benchmark run for a segment of customer profiles. Customer profiles from the segment include a parameter, termed an adjustment parameter, that may affect energy consumption by the associated customer. The results of the benchmark run include energy consumption values for individual customer profiles in the segment, an average energy consumption value for the entire segment of customer profiles, and also adjustment energy consumption value. The adjustment energy consumption value reflects the portion of energy consumption by a particular customer attributed to the difference between the average value of the adjustment parameter for the segment and the value of the adjustment parameter for the particular customer profile.

Abstract: A technique for determining and presenting marketing scenarios based on market characteristics are described herein. The technique includes receiving data regarding market environment and an expected change in the market environment. A number of market characteristics are calculated based on the collected data for a number of alternative marketing scenarios for addressing the change. A number of graphical objects corresponding to the marketing scenarios are displayed in a coordinate system to show correlation between a number of selected market characteristics. A number of additional components are assigned to the graphical objects to indicate additional characteristics of the presented marketing scenarios.