15 Jul 2019
BluWave-ai's machine learning platform, release 2.4, builds on the company's grid energy optimization model to simultaneously maximize the use of renewables hardware and power purchase agreements (PPA's), while minimizing energy costs and greenhouse gas (GHG) emissions. Some of the features in this release include enhanced wind and solar prediction models; city, substation, and industrial/enterprise scale load prediction; and an historical and real-time data pipeline for utility and IoT sensors. BluWave-ai's substation and transformer level distributed AI platform supports a smooth migration towards EV-supported utility infrastructure with higher capacity charging and discharging per transformer using distributed intelligence. Furthermore, the distributed AI allows utility customers to leverage EV's as dynamic storage to address fluctuating load periods. BluWave-ai's SaaS-based platform, consisting of BluWave-ai Edge and BluWave-ai Center, resolves the intermittency problem with renewable sources like wind and solar through reliable energy prediction, optimization, and control at both microgrid and utility scale. The company has four provisional US patents, which currently represents 5% of the global 2018 artificial intelligence (AI) patents of Canadian origin.
BluWave-ai | www.bluwave-ai.com