Implementing machine learning to improve solar home systems downtime
SolarWorks! will improve access to energy services to residents in Mozambique by testing Machine Learning optimisation on their solar home systems. The tool combines weather forecasting data and user data to make Solar Home Systems self-learning and minimize system downtime. Through the grant, solar home system downtime will be minimized resulting in improved customer satisfaction and lower energy cost resulting in improved repayment rates.
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“At SolarWorks! we aim to constantly improve the access to energy for our clients. Because of the grant from GSMA we are able to professionally implement machine learning in combination with weather forecast data to minimize the down time of our systems and deliver even better quality energy services against the lowest cost possible for our clients. Mobile data and M2M communication is at the center of this development and makes this all possible.” – Arnoud de Vroomen, CEO