Energinet + IBM: Harnessing renewable energy using AI

In Denmark, around 50 percent of electricity comes from renewable sources, mostly wind power. Energinet's mandate was to increase that to 100 percent by 2030. This creates some challenges for Energinet, Denmark’s electric transmission systems operator, because renewable energy always fluctuates. We have to manage the grid carefully to maintain the security of supply. They’ve developed tools to manage the amount of renewable energy we have today, but as it increases, we’ll need new and better tools. Otherwise, we’ll likely have to make costly infrastructure investments or face brownouts and blackouts. Their current control room tools are good at modeling the grid to simulate error conditions, but the simulations and live data feeds generate big data that remains untapped. That led us to wonder whether an analytical tool could discover insights to improve grid management.

Tags: energinetibmcloud pak for datamodernizeibm garageenergy and utilitiesj2aidata & aictas in productionsara quomaenglish (u.s.)en-us

Appears In: CorpMkt-Data Driven

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Energinet + IBM: Harnessing renewable energy using AI

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