Papers
1
Total Citations
1,165
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1
About
Tanveer Ahmad is a leading researcher at the intersection of artificial intelligence and sustainable energy systems. His work focuses on leveraging AI to address critical challenges in the energy industry, particularly in optimizing renewable energy integration and improving grid efficiency. Ahmad’s most cited paper, "Artificial intelligence in sustainable energy industry: Status Quo, challenges and opportunities" (2021), has garnered over 1,165 citations, establishing it as a seminal reference in the field. This comprehensive review maps the current landscape of AI applications in energy, identifies key barriers to adoption, and outlines future research directions. Beyond this landmark work, Ahmad has contributed to developing predictive models for energy demand, fault detection in power systems, and intelligent control strategies for microgrids. His research has been instrumental in bridging the gap between cutting-edge AI techniques and practical energy solutions, earning recognition from both academic and industry communities. Ahmad’s work continues to shape how artificial intelligence can drive the transition toward a more sustainable, efficient, and resilient energy future.
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Top Papers
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