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@article{199240,
        author = {Snehasish Sarkar and Nilofar Bano and Deepali Chouksey and Dr. Anusha Priya},
        title = {ROLE OF AI AND SAP IN RENEWABLE ENERGY SECTORS.},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {13618-13626},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=199240},
        abstract = {This study aims to identify and document role of AI and SAP in Renewable energy at various sectors located in India. In this dynamic landscape of the renewable sector, optimizing energy output with best infrastructure, maintenance and deep integration into the grid present formidable challenges. This Paper describes about the transformative potential of AI as a solution on this tough issues. The focus of this study is on the current state of AI applications with the renewable energy domain, particularly honing in its profound impact on predictive maintenance and energy optimization across sources on solar, hydro, wind. This survey carries out the catalogue which describes the roll of AI in renewable energy and along with AI how different modules of SAP are integrated in this sector. AI is one of the important resources now a days which will not only increase the productivity in renewable sectors but also it helps to decrease the mundane works. AI’s transformative journey not only increase the Productivity of energy but also help in cost optimization less workforce. With the help of AI and SAP the impact of renewable energy landscape will deepen. the way for cleaner more sustainable future. The renewable energy will show the gateway of clean future. SAP has adopted and developed solutions to meet different requirements on Renewable energy projects. It involves with the integration of intelligent solutions with core business processes to optimize renewable energy management. The AI and ML is integrated with SAP modules such as SAP MM and SAP IS-U, augmenting predictive maintenance.},
        keywords = {AIML, optimization, SAP MM, SAP IS-U, SAP SD.},
        month = {April},
        }