BluWave-ai seeks to realize a world powered by renewable energy. We are committed to accelerating the adoption and use of renewable energy sources like wind and solar across communities and corporations to realize the “Utility of the Future”. To achieve this, we use artificial intelligence (AI) and big data analytics. BluWave-ai’s machine learning platform balances the cost, availability, and reliability of different energy sources - renewable and non-renewable - with energy demand in real-time.

BluWave-ai’s SaaS based platform consists of BluWave-ai Edge and BluWave-ai Center and operates in either the public or private cloud. BluWave-ai Edge connects to IoT sensors and meters around the grid. BluWave-ai Center manages these multiple edge nodes, collecting the data to build and train the AI models, and then sending these models back to BluWave-ai Edge to predict, optimize, and dispatch control. This lets utilities, enterprises, remote communities, and governments optimize their energy decisions for increased sustainability, reliability, and affordability.

BluWave-ai’s customers and partners report significant economic and environmental returns on their investments. For example, where significant large renewable energy penetration is present, typical savings are in the high six figures for every 10-20 megawatts of user load. The environmental payback is arguably more impressive than the financial, with lead customers reporting 40%+ reductions in CO2 emissions by being able to rely more on renewables and less on imports from the main grid. Then there are the qualitative benefits including improved grid resilience and protection of the local energy supply from extreme weather and cyber attacks, and reduced exposure to volatility in the global energy supply market.

BluWave-ai is pleased to work with innovators in the energy industry including Tata Power, Hydro Ottawa, and Natural Resources Canada to realize a greener, more sustainable grid for all.

About Us

Artificial intelligence for renewable energy smart grids