World Wide Energy Web

Designing a tool to find the best suitable location for renewable energies, like wind and solar. By use of machine learning, we will predict future changes in weather conditions to determine site locations that will generate the most energy during their lifetime.

The case study will focus on one site, where data is available, but there is potential for and expansion to a global network.

If you want to know more about this project, reach out to Thomas via


Posted on

May 7, 2018

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