Artificial Intelligence in Energy Research and Climate Change

Artificial intelligence (AI) plays a pivotal role in addressing climate change by accelerating energy research and aligning with global initiatives towards a sustainable future, with a notable focus on India, the worlds fourth-largest economy, which is on track to become the third-largest economy. As a developing nation struggling with energy demand and climate adaptation resilience, India stands at the convergence of innovation and necessity. This research paper presents the integration of AI technologies in optimising energy resources and enhancing grid efficiency in relation to climate patterns. Leveraging AI-driven solutions, one can transform the Indian energy sector by predicting energy demand consumption, managing resources, and minimising carbon footprints. AI shall may transform energy research in the following direction. Smart grids and energy optimization Energy distribution efficiency Reducing losses through integration with clean and renewable energy resources India, with its continued excellence in science and technology, needs to play a leading role in global AI collaborations. This association involves the inclusion of globally renowned organisations, such as the United Nations Development Programme (UNDP), the International Energy Agency (IEA), and the Conference of the Parties (COP) under the banner of the United Nations Framework Convention on Climate Change (UNFCCC), considering all aspects that govern solutions for global climate change through AI. The methodological approach focuses on accelerating the integration of artificial intelligence in managing energy resources and addressing climate change. Last but not least, AI can be considered an effective and affordable system-based tool that, along with emerging technologies, effectively addresses the challenges of climate change mitigation plans.

Authors

Publication Details

Journal
Indian Journal of Artificial Intelligence and Neural Networking
Published
2025-08-29
DOI
https://doi.org/10.54105/ijainn.e1104.05050825
Citations
1
Primary Topic
Energy Load and Power Forecasting
Type
article
Field-Weighted Citation Impact
0.73
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article

Artificial Intelligence in Energy Research and Climate Change

P. K. Srivastava, B. R. Kumar, S. J. Haider, Syed Zaheer Hasan
1 citations
Indian Journal of Artificial Intelligence and Neural Networking
Energy Load and Power Forecasting
0.73
article

Artificial Intelligence in Energy Research and Climate Change

P. K. Srivastava, B. R. Kumar, S. J. Haider, Syed Zaheer Hasan
article en
1 citations

Abstract

Artificial intelligence (AI) plays a pivotal role in addressing climate change by accelerating energy research and aligning with global initiatives towards a sustainable future, with a notable focus on India, the worlds fourth-largest economy, which is on track to become the third-largest economy. As a developing nation struggling with energy demand and climate adaptation resilience, India stands at the convergence of innovation and necessity. This research paper presents the integration of AI technologies in optimising energy resources and enhancing grid efficiency in relation to climate patterns. Leveraging AI-driven solutions, one can transform the Indian energy sector by predicting energy demand consumption, managing resources, and minimising carbon footprints. AI shall may transform energy research in the following direction. Smart grids and energy optimization Energy distribution efficiency Reducing losses through integration with clean and renewable energy resources India, with its continued excellence in science and technology, needs to play a leading role in global AI collaborations. This association involves the inclusion of globally renowned organisations, such as the United Nations Development Programme (UNDP), the International Energy Agency (IEA), and the Conference of the Parties (COP) under the banner of the United Nations Framework Convention on Climate Change (UNFCCC), considering all aspects that govern solutions for global climate change through AI. The methodological approach focuses on accelerating the integration of artificial intelligence in managing energy resources and addressing climate change. Last but not least, AI can be considered an effective and affordable system-based tool that, along with emerging technologies, effectively addresses the challenges of climate change mitigation plans.

Indian Journal of Artificial Intelligence and Neural NetworkingVol. 5(5)
Openalex Percentile: Top 24%
Energy Load and Power Forecasting
0.73
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