In the course of the project EASE a comprehensive system is being researched, wherein historical and actual generation and equipment data of geographically distributed energy infrastructure is connected to establish a dense 'sensor' network.
Through a combination of this sensor network, artificial intelligence and under consideration of data from weather stations and weather forecasts, precise and probabilistic short-term predictions for electricity generation of renewable sources are developed.
Through the connected view of the infrastructure, it will be possible to accomplish a probabilistic path prediction of (extreme) weather events and in the case of such an event, to do automatic diagnostics to detect and classify damages. The core developments are going to be developed together with multiple companies in science and industry, that will be organized in a shared dataspace, so that even enterprises in direct competition can cooperate under protection of their own interests. The developed systems are going to be tested in a proof of concept on real equipment.
Project manager at the W&O RTD: Franz G. Rosner
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