In 2017 we started BluWave-ai to bring state-of-the-art techniques from supercomputing, artificial Intelligence, and edge computing to the world of distributed renewable energy. With distributed resources, clean energy can be produced anywhere by anyone, moving the world away from centralized carbon-based emitting sources. But real-time computing is needed to predict production and optimize how to use these resources. We live in a world where close to two billion people do not have access to the reliable energy sources to lift them out of poverty and create a future of fuller opportunities. At the same time, we’re facing a growing climate crisis, with GHG emissions being a significant contributor. These urgent issues inspire the mission of BluWave-ai. Electrical output from renewable energy sources like wind and solar fluctuates and is inherently difficult for utilities to manage. This results in renewables generation often being under-utilized, with operators relying on fossil fuels as a fallback.
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