This research demonstrates an AI-driven energy management framework in India, suggesting sustainable pathways through clean energy and multi-business model innovations.
The Bharat 6G Vision aspires to transform India into a digitally advanced, economically robust, and environmentally sustainable nation through the deployment of cutting-edge 6G technology. To achieve this, it is imperative to integrate clean energy, Artificial Intelligence (AI), and multi-business model innovations. The urgency for such integration stems from the need to address escalating energy demands, mitigate climate change, and enhance economic sustainability. The current energy framework faces challenges in efficiency, cost, and environmental impact, necessitating a comprehensive solution. Our proposed methodology involves developing AI-driven energy management systems that optimize energy consumption in real-time, integrating renewable energy sources into a smart grid infrastructure, and employing advanced energy storage solutions. We also advocate for the creation of circular sustainable multi-business model approach with Energy-as-a-Service (EaaS) and circular economy principles to reduce financial barriers and promote sustainability. Central to our approach are the establishment of Green Industry Zones (GIZ) and Green Residential Zones (GRZ), which serve as practical applications of these business model innovations. Our research direction includes scaling these initiatives to develop smart sustainable cities that encompass both residential and industrial sectors. Case studies highlight successful implementations in these smart cities, demonstrating enhanced clean energy efficiency and sustainability. By integrating AI, clean energy, and innovative business models, we contribute to the realization of the Bharat 6G Vision.
No takes yet. Share an insight, caveat, or question.
Gade et al. (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: