Machine Learning for Solar Array Monitoring, Optimization, and Control

Discover the innovative world of solar technology with Machine Learning for Solar Array Monitoring, Optimization, and Control by Sunil Rao. Published by Springer International Publishing AG in 2020, this insightful paperback offers 81 pages of cutting-edge research and practical applications. This book delves into the utilization of camera and satellite sensing to monitor skyline features and individual panel parameters. Learn how these technologies can enhance fault detection and optimize power output through advanced topology reconfiguration using programmable actuators, such as relays, in solar monitoring devices (SMDs). Perfect for researchers, engineers, and enthusiasts in the field of renewable energy, this book is a must-have resource for anyone looking to harness the power of machine learning in solar energy systems.