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 widespread adoption of smart meters has provided electricity suppliers with a wealth of decentralized energy generation and consumption data.
However, leveraging thousands of load profiles to optimize and expand tariff offerings through customer clustering based on similarities in seasonal, weekly, and daily patterns, as well as peaks, abrupt changes, and other features, often surpasses typical analysis procedures. Indeed, exploring such a vast amount of time series data is not easily achievable with standard analysis tools used by market experts. Hence, there is a need to identify and validate numerous potential clusters with minimal effort (no coding, short time) 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!
