Grid4C: Artifical Intelligence - Squeezing Value from IoT Data

Dr. Noa Ruschin Rimini, Founder & CEO Decentralization of energy supply and deregulation of energy markets, coinciding with exponential increases in the data available from energy users, have created a pressing need for software to understand energy consumers and manage energy resources. Underlying each of those requirements, are challenges that cannot be met by the analytical approaches that have been employed in the past. Predictive Analytics that forecast behavior and faults of individual meters and connected devices meet these challenges with a product suite built on a core set of patented Machine Learning algorithms. "Grid4C's edge lies in the ability to squeeze the greatest value from existing, ubiquitous data sources, non-intrusively, without needing to wait for new sensors to reach mass adoption" "Machine Learning provides a window into homes and businesses using smart meter data that facilitate granular, accurate predictions, enabling more reliable operation of the grid and integration of renewable resources and energy storage,'' explains Dr. Noa Ruschin- Rimini, Founder and CEO, Grid4C. Over the years, the company has been able to solve some of the industry's greatest challenges, outperforming the competition in industry benchmarks.