Optimization and Performance Analysis of Grid-Connected Hybrid Energy Systems Using Machine Learning in a Commercial Building
Main Article Content
Abstract
In this study, grid-dependent hybrid energy systems in a variety of combinations are examined in order to supply dependable power to a commercial structure edge matrix multinational company is located in Madurai, Tamil Nadu, India. The primary objective of the study is to analyze details about a hybrid energy system design that includes conversion, battery packs, a generator powered by diesel, and sunlight harvesting panels. This study took into account both technical and economic factors in order to observe the best design. The Homer tool is used in the present investigation to gather energy price and renewable fraction information regarding the office structure source details under consideration. To confirm its effectiveness, the regression model was contrasted with three evaluation matrices of 27 prediction models with relation to techno-economic aspects. Finally, the findings reveals that optimal configuration and model of this considered locale is Battery. Grid and solar.In terms of LCOE and renewable fraction the optimizable GPR model is outperforms the other model.