AUTOMATED POWER GRID ANALYTICS USING GEMINI






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AUTOMATED POWER GRID ANALYTICS USING GEMINI

Ms. Indu1, Mr. Yash Sharma2, Mr. Rohan Sekhri3, Mr. Nitin4

1 Assistant Professor 2,3,4 Student CSE Department

HMR Institute of Technology And Management, GGSIPU, Delhi 110036

Yash44070@gmail.com

Abstract - In recent years, data-driven insights have become essential in enhancing efficiency and reliability in power distribution and management. This paper presents APGA an “Automated Power Grid Analytics” Tool, a Django-based web application designed to automate data extraction, storage, and analysis for power plant performance monitoring. Utilizing data scraped from the Grid Controller of India Limited, the analytical framework leverages the Gemini model to enable real-time data querying and visualization, providing insights critical for power distribution entities. The application supports comprehensive analysis, including graphical representations and query-based insights, to facilitate informed decision-making in power management. We further discuss the implications of such a tool in predictive maintenance, load forecasting, and fault detection, aiming to benchmark its performance against existing systems.

Keywords

Power Grid Analytics, Django, Gemini Model, Data visualization, Data-driven insights

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