Implementing an Energy Management System with Renewable Energy Sources
Keywords:
Renewable Energy Sources, Energy Management System, Artificial Intelligence, ANOVA, HOMER Pro, Solar Photovoltaic.Abstract
Bringing renewable energy sources (RES) like solar and wind power, into our modern energy systems is important for being more sustainable and lowering carbon emissions. This study shows a clear plan for setting up an Energy Management System (EMS) that uses solar, wind, and biomass energy. Developing EMS systems achieves three main objectives: reduced conventional energy usage, optimized efficiency and stable power grids through data analysis and smart software combined with emergency batteries. The system's validity was proven through regression analysis and ANOVA as well as time-series prediction statistical tests. Research findings demonstrated that power consumption from the grid dropped by 40% together with a 30% reduction in carbon emissions at the same time as achieving 20% improved efficiency. Rural test results demonstrated the actual operational success of the system. The study demonstrates that EMS implements powerful methods for renewable energy adoption and global sustainability goals achievement regardless of high initial expenses.
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