Artificial intelligence can predict electricity grid loads from road and rail usage data

To satisfy demand and manage consumption peaks, electricity suppliers have to be able to predict grid loads. A team of scientists from Zurich University of Applied Sciences has developed an artificial intelligence system capable of accurately anticipating grid loads from road and rail traffic data. The results have been published in Energy Strategy Reviews.

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