With increasing decentralization and the expansion of renewable energy sources, the energy sector relies heavily on reliably accurate forecast models for consumption and generation. Thus, the focus of forecast monitoring and diagnostics is to swiftly detect temporary anomalies and gradual drifts across a multitude of models.
However, keeping track of an ever-expanding number of forecast models—often numbering in the thousands—in terms of quality and timeliness presents an increasing challenge. Models can quickly become outdated due to the rapid expansion of renewable energy, adding complexity to the task. It’s imperative to monitor these numerous models with minimal effort to promptly identify negative trends in forecast quality and pinpoint the underlying causes of degradation.
Visplore reduce these challenges to a minimum – and enables you to detect badly performing models and deteriorating trends much earlier.