首页|Vrije Universiteit Brussel (VUB) Researchers Have Provided New Data on Machine Learning (Development and Comparison of Ruleand Machine Learning-Based EMS for HESS Providing Grid Services)
Vrije Universiteit Brussel (VUB) Researchers Have Provided New Data on Machine Learning (Development and Comparison of Ruleand Machine Learning-Based EMS for HESS Providing Grid Services)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Researchers detail new data in artific ial intelligence. According to news reportingoriginating from Brussels, Belgium , by NewsRx correspondents, research stated, “In this paper, a smartmachine-lea rning-based energy management system (MLBEMS) is developed for a hybrid energy s toragesystem (HESS). This HBESS consists of batteries with high-energy (HE) and high-power (HP) characteristics,to provide grid-supporting services.”Funders for this research include European Union’s Horizon 2020 Research And Inn ovation Program.The news journalists obtained a quote from the research from Vrije Universiteit Brussel (VUB): “The aimof the MLBEMS is to improve the overall battery lifetime and achieve state-of-charge (SoC) balancing fortwo different use cases (UC). U C1 involves enhanced frequency regulation for the Pan-European grid, whileUC2 p ertains to an electric vehicle (EV) charging station with photovoltaic (PV) gene ration. The designedMLBEMS is compared with a rule-based energy management syst em (RBEMS) from the literature withsimilar use cases. To ensure optimal power s haring between the battery modules, an optimization modelis created using real battery aging data. Using a genetic algorithm, optimal power sharing is achieved forvarious initial SoC conditions. The generated dataset is subsequently utili zed to train a machine-learningregression model, and the resulting prediction f unction is imported into MATLAB/Simulink.”
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