To Analyse the Impact of Integration of Wind and Solar Power Generation System for Uttarakhand, Haryana and Rajasthan: A Scope of Machine Learning

This paper provides a comprehensive survey of the techniques and methods used in hybrid energy systems, with a special investigation of wind and solar power generation systems in the Indian states of Uttarakhand, Haryana, and Rajasthan. The paper explores the benefits of hybrid energy systems and the challenges associated with their implementation. It also examines the various techniques and methods used to integrate wind and solar power generation systems, including energy storage, power electronics, and control systems. The study analyzes the potential of hybrid energy systems to meet the increasing demand for clean and sustainable energy, reduce greenhouse gas emissions, and improve energy security in the selected regions. Further This study explored Machine learning to assess the impact of integrating wind and solar power generation systems in Uttarakhand, Haryana, and Rajasthan. By leveraging machine learning, the research analyses data on weather patterns, power generation, and grid infrastructure to evaluate resource potential, forecast power output, optimize energy management, and assess environmental impact. Finally, the paper concludes with a discussion of the future outlook for hybrid energy systems and their role in meeting the growing energy needs of the region. The wind and solar energy have great potential in Uttarakhand, Haryana, and Rajasthan. These states are blessed with abundant wind and solar resources, making them ideal locations for the development of renewable energy.