Machine Learning Infused Techno-Economic Evaluation of Commercial Building Hybrid Energy System

The study explores multiple combinations of grid connected hybrid energy systems to supply power to a commercial building located in Madurai, Tamil Nadu, India. The study focuses on analyzing a Hybrid Energy System configuration comprising solar PV, a diesel generator, batteries, and a converter. This analysis is conducted based on technical and financial factors with the aim of determining the most optimal design. Moreover, two distinct machine learning models were employed to forecast the system's performance concerning techno-environmental-economic factors. The results of the optimal configuration are input into two distinct regression models to determine the most effective using machine learning to anticipate the renewable share in Technical and the Levelized Cost of Electricity in Economical.