“The process of developing microgrids can be costly. It begins with a feasibility study reaching hundreds of thousands of dollars, even before any design, procurement and installation,” said Kay Aikin, CEO of US-based Introspective Systems.”Moreover, those feasibility studies are filled with disclaimers, and closing the gaps of uncertainty is crucial. Microgrid designs are unique, and therefore it is difficult to scale up the process of those studies without the use of technology.”
Fortunately, artificial intelligence (AI) and machine learning (ML) can help. Aikin’s company, along with Israel-basesd Brightmerge, are incorporating both into a microgrid software platform that determines microgrid feasibility and creates optimal design specs and operational controls.
The partners have several pilot projects underway with the goal of bringing the software platform to alpha stage in the second quarter of 2020 and rolling out production systems in 2021.
