energy-IO and Radboud University finished a project to develop an anomoly detection algorithm. The data science engineers of Radboud Universiy Nijmegen were supported by our engineers, With this solution our customers can be warned if energy consumption is changing or slightly drifts away what normally can’t be seen by the existing energy management systems.
Industry saves 20-30% on energy consumption by working smarter Energy efficiency in industry is a “hot” and on-going topic for the coming decades, given the climate goals we are all pursuing. Many production processes are facing sharply rising energy costs. To keep those costs under control, it is important to have insight into consumptions, not
Process-control, -monitoring and predictive maintenance are well-known concepts. However, their usage must be broadened and improved to realize the near-future energy transition goals, since they can reduce energy usage in existing processes by 5-25% and their usage is currently still limited. Corporate sustainability is a convoluted performance indicator, embedded in constraints of economic performance and
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