Intelligent Asset Management will drive future decisions
The green transition makes reinvestments and network reinforcement a growing challenge for utilities. How much should we invest in and where should companies life extend their assets? Only a complex optimization with individual component risk analyses provides the answer.
We combine different future scenarios with intelligent Asset Management solutions to create an overview and identify the right decision for every piece of infrastructure.
A state-of-the-art data foundation
We rely on a comprehensive database with price, lifetime and reliability information for a wide range of network components. We use reliability models to support good decisions and machine learning to fill in the gaps for components and customers with missing information.
We make Utility regulation understandable
Revenue caps and benchmarking algorithms are complex with non-linear features applied to large historical financial and asset datasets.
We let utilities simulate the impact of changes in assets, operational costs and depreciations with our easy-to-use interface. Our no-programming approach makes it possible to forecast revenue caps and effeciency targets 10 years into the future.
Tariff-setting supported by big data
Technological changes such as flexible demand, storage and peer to peer trading in energy communities has the potential to decimate utilities if they don’t adapt fast enough.
Big data tariff-setting is our solution to investigate the impact of different cost reflective tariffs, like time-of-use and capacity tariffs, on every customer a utility serves. Through linear programming, we reach precise revenue rates within the confines of politically determined billing constraints for different customers based on their size and connection type.