BluWave-ai formed in 2017 around the idea of bringing innovations in artificial Intelligence, edge computing, and cloud-based super-computing to the world of distributed renewable energy.
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. BluWave-ai’s grid energy optimization platform balances the cost, availability, and carbon footprint of different energy sources – both renewable and non-renewable – with energy demand in real-time.
The goal of BluWave-ai is to drive the transition from a centralized, carbon-based energy model to the point where clean energy can be produced by almost anyone, anywhere, aided by advanced real-time computing to optimize its generation and use.