Renewable Energy Transition in India: Role of Artificial Intelligence in Optimising Renewable Energy Generation and Distribution
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India is prioritising the deployment of renewable energy as a central pillar of its sustainable development policy and climate action plan. This shift towards renewable energy systems presents complex operational constraints arising from the intermittency of renewable energy sources, information asymmetries in forecasting power requirements, and the need for smart and robust energy infrastructure. In this context, this review paper aims to explore the evolving role and potential of Artificial Intelligence (AI) in facilitating sustainable energy transitions. Drawing on interdisciplinary literature, this paper explores the application of AI to data-driven decision-making to enhance renewable energy forecasting and intelligent energy storage management, thereby improving grid stability. Further, by drawing on theoretical and empirical insights, the paper seeks to contribute to the identification of key pathways, limitations, and policy-oriented considerations for shaping the future deployment of AI in sustainable energy production and distribution. The paper finds that recent developments in AI models and machine learning-based technologies, and their deployment in the renewable energy ecosystem, hold great potential for advancing renewable energy generation and distribution.
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