Some of my researches, reports and papers
While studying at the engineering college, I authored this comprehensive report on Renewable Energy, detailing its various types in accordance with standard research and reporting guidelines.
This project is a machine learning-based system that addresses the challenge of accurately predicting electrical loads, helping energy providers and facility managers: Improve load forecasting accuracy: Reduce energy waste and optimize grid management by predicting upcoming electrical loads for days, months, or even years. Data-driven load insights: Gain valuable insights into future energy requirements through accurate predictions. Interactive visualization: Explore predicted load curves through an intuitive graphical user interface (GUI).
Our Main research also covers algorithm applications on smart and classic grids and implements basic decision-making features.