Researchers propose a unique numerical decision-making framework for solar panel protection against extreme weather conditions. The framework combines advanced wind simulations with machine learning to optimize individual solar panel angles under strong winds. Unlike previous methods, this new method treats panels as independent decision-makers and identifies creative, data-driven solutions to reduce stress, significantly outperforming current safeguards.
