ML applications applied to solar are helping operators sustain thriving business which will only increase as algorithms improve, and operators better understand ML’s advantages from a time and financial point of view.
Most Digital Twin models (based on ML technology) are based on boosted decision tree or neural network models. After sensible initial architecture choices have been made, accuracy of the models depends on the accuracy of data used for training and the quality of the practitioners.
How do you keep millions of solar panels in top notch condition – working at maximum capacity? And with land in short supply, where should they be installed? Luckily, technology has solutions. Key technological trends influencing India’s utility solar include energy storage, mono PERC, floating solar plants, blockchain, AI and machine learning.