stdClass Object ( [id] => 18120 [paper_index] => 202511-04-024888 [title] => QUANTIFYING THE ECONOMIC IMPACT OF AI ON SDG 7 ACHIEVEMENT: A COMPREHENSIVE SECONDARY DATA ANALYSIS OF INDIA'S ENERGY TRANSITION [description] => [author] => Dr. Sudhakara Rao Bezawada, Dr. M. Srinivasa Rao [googlescholar] => [doi] => https://doi.org/10.36713/epra24888 [year] => 2025 [month] => November [volume] => 13 [issue] => 11 [file] => fm/jpanel/upload/2025/November/202511-04-024888.pdf [abstract] => Despite growing policy interest in Artificial Intelligence (AI), comprehensive economic evaluations using systematically consolidated secondary data remain scarce in the Indian energy context. This study addresses this gap by providing a methodological contribution through exclusive secondary data analysis of AI applications in advancing India's progress toward Sustainable Development Goal 7 (SDG 7). Through systematic analysis of 32 government reports, 15 pilot project evaluations, and national energy datasets (2018-2024), we conduct a comprehensive cost-benefit analysis of AI implementations across renewable energy forecasting, smart grid management, and predictive maintenance. Analysis of Central Electricity Authority data reveals AI-driven renewable forecasting reduces grid integration costs by 18-25%, while National Smart Grid Mission data demonstrates smart grid technologies enable utilities to reduce aggregate technical and commercial losses from 21.5% to 16.2%. The analysis reveals a positive net present value of ₹1,45,000 crore (~USD 17.4 billion) for national AI implementation, with an aggregate benefit-cost ratio of 2.8:1. The study recommends integrated policy interventions focusing on public-private partnerships and standardized data governance frameworks to accelerate economically efficient AI adoption, thus informing evidence-based energy governance and positioning India to achieve its National Electricity Plan 2024 targets. [keywords] => Artificial Intelligence, SDG 7, Economic Evaluation, Clean Energy, Smart Grid, India, Cost-Benefit Analysis, Secondary Data Analysis, Renewable Integration, Energy Economics, Sustainable Development [doj] => 2025-11-14 [hit] => [status] => [award_status] => P [orderr] => 5 [journal_id] => 4 [googlesearch_link] => [edit_on] => [is_status] => 1 [journalname] => EPRA International Journal of Economic and Business Review(JEBR) [short_code] => IJES [eissn] => 2347-9671 (O), 2349-0187(P) [pissn] => [home_page_wrapper] => images/products_image/12.JEBR.png ) Error fetching PDF file.