首页|Studies from KTH Royal Institute of Technology Yield New Information about Machi ne Learning (A Machine Learning-assisted Distributed Optimization Method for Inv erter-based Volt-var Control In Active Distribution Networks)
Studies from KTH Royal Institute of Technology Yield New Information about Machi ne Learning (A Machine Learning-assisted Distributed Optimization Method for Inv erter-based Volt-var Control In Active Distribution Networks)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on Machine Learn ing. According to news originating fromStockholm, Sweden, by NewsRx corresponde nts, research stated, “The number of smart inverters inactive distribution netw orks is growing rapidly, making it challenging to realize a fast, distributed Volt/Var control (VVC). This work proposes a machine learning-assisted distributed algorithm to acceleratethe solution of the VVC strategy.”
StockholmSwedenEuropeAlgorithmsC yborgsEmerging TechnologiesMachine LearningKTH Royal Institute of Technolo gy
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