Identification and in-depth validation of customer clusters are critical to expand tariff offerings!
Read here how an electricity supplier used Visplore to introduce nine new tariff models through rapid identification and validation of customer clusters from raw smart meter data!
Visplore is a ready-to-use solution for identification and in-depth validation of customer clusters from raw smart meter data – for tariff offering optimization and expansion.
Identifying changes in daily patterns (segmentation by day).
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Finding highest correlation with an individual customer.
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The proliferation of smart meters provides electricity suppliers with a massively increased quantity of decentralized energy generation and consumption data.
However, using thousands of load profiles for optimizing and expanding tariff offerings by clustering customers with regard to similarities in seasonal trends, weekly, and daily patterns, as well as peaks, sudden changes, and other features often goes beyond the scope of typical analysis procedures. In fact, the exploration of such an amount of time series cannot easily be addressed by the standard analysis tools of the responsible market experts. It is therefore necessary to identify and validate a multitude of potential clusters with minimal effort (no code, short time) in order to create new tariff options or optimize existing ones.
Visplore reduces these challenges to a minimum – and enables you to identify and validate customer clusters fast and interactively!
