• Prasun Bhattacharjee
• Rabin K. Jana
• Somenath Bhattacharya

Climate change is affecting human societies universally irrespective of their socioeconomic ranks. The continuous generation of greenhouse gases is an important cause of global climate change. Several nations have committed to curtailing their greenhouse gas emission and signed the Paris accord of 2015 to constrain the upsurge of the surface air temperature of our planet. Effectual handling of resources like wind power can help the electricity generation businesses to achieve their carbon neutrality targets. Being the second most populated nation in the world, it turns out to be extremely vital for India to use its wind power generation capacity efficiently to propel its booming economy as well as fulfilling its emission cut goals. In this paper, an artificial intelligence-supported meta-heuristic tactic has been projected to augment the economic profitability of a wind power generation site near the western shore of India. The investigation outcomes verify the advantage of the proposed procedure over the conventional genetic algorithm approach for the wind farm layout optimization technique.

Artificial Intelligence, Genetic Algorithm, Meta-heuristic Technique, Profitability Expansion, Wind Farm

"Expanding the Financial Profitability of an Indian Wind Power Generation System with Artificial Intelligence-Assisted Meta-heuristic Process", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.390-396, June-2022, Available :http://www.jetir.org/papers/JETIRFM06070.pdf

"Expanding the Financial Profitability of an Indian Wind Power Generation System with Artificial Intelligence-Assisted Meta-heuristic Process", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. pp390-396, June-2022, Available at : http://www.jetir.org/papers/JETIRFM06070.pdf