Case Study: a transmission system operating company improves forecast accuracy and detects anomalies earlier with Visplore

How a transmission system operator improved forecasts by fast visual diagnostics

A transmission system operating company faced challenges in monitoring the quality of its rapidly growing number of energy forecasts. Detecting model drifts and anomalies was a slow, laborious process using spreadsheets and BI dashboards, which created risks for their operations. They needed a scalable solution to quickly identify forecast problems with minimal manual effort.

The company implemented Visplore for forecast monitoring and diagnostics. The solution provided intelligent overviews and powerful drill-down features, enabling 30% earlier detection of anomalies and a 5% average increase in forecast accuracy. This allowed the transmission system operator to react to problems faster and significantly improve its risk management processes.