Robotics & Machine Learning Daily News2024,Issue(Jul.8) :22-23.

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)

Robotics & Machine Learning Daily News2024,Issue(Jul.8) :22-23.

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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Abstract

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.”

Key words

Stockholm/Sweden/Europe/Algorithms/C yborgs/Emerging Technologies/Machine Learning/KTH Royal Institute of Technolo gy

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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