AI Applications of Clean Energy Innovations

Classically, innovation in the energy sector progressed sluggishly, and entrepreneurial startup Businesses disported a comparatively meagre role. We hope that global commitment through Sustainable Developmental Goal 7 of 2030 and United Nations Climate Change COP 26, 2021 may usher in sagacious systemic reforms in the energy market. The study provides an overview of the energy industry by highlighting the role of contemporary disruptive technologies. The experiential results of predictive analytics for global energy entrepreneurship time series data from 2005 to 2020 indicate that Energy Efficiency and Energy Management (EE &EM) is the most viable optimal proxy to generate voluminous entrepreneurial assets. The etymological justification of these energy variables is empirically estimated using a correlation matrix. The study emphasizes the practical applications of Low Power Wide Area Network (LPWAN) technologies in its concerted pursuits of Power Energy Optimization for Precision Agriculture by deploying Use Cases in the sample state of Karnataka.