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By harnessing the power of IoT and analytics, Kaiserwetter is campaigning for expanding the production of clean energy globally. The company combines the classic, technical, and commercial asset management methods with digital integration to maximize energy production. Headquartered in Germany, with offices in Madrid, New York, and set to expand to Beijing, this Data-as-a-Service (DaaS) ‘enertech’ company employs smart data analytics and predictive analytics to optimize the efficiency of power generation. By using a cloud-based platform underpinned by IoT, Kaiserwetter gives not only real-time analytics but also predictions on the future performance. This approach helps in forecasting possible downtimes thus allowing its clients to fix the issue beforehand. “We enable our customers to maximize the energy production and financial return of their wind and solar farms,” says Schoklitsch. The company has developed an innovative IoT platform, ARISTOTELES for managing renewable energy portfolios and combine real-time performance data with smart and predictive analytics. Schoklitsch informs, “In the end, it’s all about minimizing investment risk, and also maximizing the returns, and creating the highest transparency standards. And these three things we can achieve by using the data that we are generating out of the assets and bringing into ARISTOTELES.”![]()
We’re providing the ability to aggregate data from all over the world, and benchmark which equipment is working properly or not, and to make risk assessments on a local, regional or international basis
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Management
Hanno Schoklitsch, Founder & CEO
Description
International service provider dedicated to the management of renewable energies through IoT and Data Analytics
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