Robotics & Machine Learning Daily News2024,Issue(Nov.27) :27-28.

Reports from King Fahd University of Petroleum and Minerals Add New Data to Rese arch in Machine Learning (Dimension Reduction Techniques for Machine Learning-Ba sed AC Microgrid Fault Diagnosis: A Systematic Review)

法赫德国王石油矿物大学的报告为机器学习研究增加了新的数据(基于机器学习的降维技术的交流微电网故障诊断:系统综述)

Robotics & Machine Learning Daily News2024,Issue(Nov.27) :27-28.

Reports from King Fahd University of Petroleum and Minerals Add New Data to Rese arch in Machine Learning (Dimension Reduction Techniques for Machine Learning-Ba sed AC Microgrid Fault Diagnosis: A Systematic Review)

法赫德国王石油矿物大学的报告为机器学习研究增加了新的数据(基于机器学习的降维技术的交流微电网故障诊断:系统综述)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑《每日新闻-人工智能新研究》是一篇新报道的主题。根据来自沙特阿拉伯宰赫兰的新闻,由NewsRx编辑撰写,研究称,“整合”逆变电源在微电网中的应用带来了波动故障引起的新的保护挑战电流、双向功率流和低惯性。传统的铝保护方法已不能满足这些不断发展的系统,需要开发新的、快速的、成本效益高的战略指示故障电流等级的。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on artificial intelligenc e is the subject of a new report. According tonews originating from Dhahran, Sa udi Arabia, by NewsRx editors, the research stated, “The integrationof inverter -interfaced sources into microgrids has led to new protection challenges due to fluctuating faultcurrents, bidirectional power flow, and low inertia. Tradition al protection methods are inadequate forthese evolving systems, necessitating t he development of novel, fast-acting, and cost-effective strategiesthat are ind ependent of fault current levels.”

Key words

King Fahd University of Petroleum and Mi nerals/Dhahran/Saudi Arabia/Asia/Cyborgs/Dimensionality Reduction/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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