We are excited to be one of Climate Change AI's 2023 Innovation Grantees in partnership with June Lukuyu at the University of Washington. This project, based in #Ghana, aims at a cost-effective solution involving machine learning algorithms to detect and localize distribution grid losses, particularly in the low-voltage networks where most issues occur. Identifying such issues promptly can better enable grid operators in Ghana and elsewhere to improve #gridreliability and effectively meet power demand, lowering both costs and associated greenhouse gas emissions. More details on this project at the intersection of #energy, #climatechange, and #AI are here: https://lnkd.in/ghmcNKea
We are excited to present the fourth project of our 2023 Innovation Grants cohort: From Observing Power to Improving Power: Loss Localization in the Distribution Grid through Topology Lead Institution: University of Washington Team Members: June Lukuyu (University of Washington), Genevieve Flaspohler, Mohini Bariya, Joshua Adkins, Kwame Abrokwah, PMP, Noah Klugman (nLine) This project proposes a cost-effective solution that meets energy demands of low-and middle-income countries. This solution involves voltage sensing at customer connections and machine learning algorithms to detect and localize distribution grid losses, particularly in the low-voltage network where most issues occur. The Climate Change AI Innovation Grants Program 2023 is supported by Quadrature Climate Foundation, Google DeepMind, Global Methane Hub and the Canada Hub of Future Earth. Find out more at: https://lnkd.in/dwREKAtG