Enhancement of Annual Profit of a Wind Farm Using Artificial Intelligence-Based Meta-heuristic Methodology

As greenhouse gas emission is initiating climate change, renewable power resources like wind energy are aiding nations to accomplish the carbon neutrality goal as proposed in Paris treaty of 2015. In this paper, a novel dynamic assignment process factors for crossover and mutation methods genetic algorithm expanding yearly profit farm at Jafrabad India. The research solutions confirm supremacy technique over standard static allocating probabilities augment financial profitability generation system.