首页|Findings on Machine Learning Detailed by Investigators at National University of Ireland (Enhancing Electric Vehicle Charging Efficiency At the Aggregator Level : a Deep-weighted Ensemble Model for Wholesale Electricity Price Forecasting)
Findings on Machine Learning Detailed by Investigators at National University of Ireland (Enhancing Electric Vehicle Charging Efficiency At the Aggregator Level : a Deep-weighted Ensemble Model for Wholesale Electricity Price Forecasting)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-Fresh data on Machine Learning are pre sented in a new report. According to newsreporting originating from Kildare, Ir eland, by NewsRx correspondents, research stated, "The proliferationof electric vehicle (EV) adoption strains low-voltage distribution networks, particularly i n aggregatedcharging scenarios, prompting utility companies to incentivize char ging aggregators for optimizing loadbalancing within thermal limits. These aggr egators utilize machine learning algorithms to understandelectricity price sign als and orchestrate the optimization of the EV charging process."Financial supporters for this research include Deanship of Graduate Studies and Scientific Research atNajran University, Najran University, Saudi Arabia, Minis try of Science & ICT (MSIT), Republic of Korea.
KildareIrelandEuropeCyborgsEmerg ing TechnologiesMachine LearningNational University of Ireland
NETL
NSTL
