首页|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)
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)
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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.”
King Fahd University of Petroleum and Mi neralsDhahranSaudi ArabiaAsiaCyborgsDimensionality ReductionEmerging TechnologiesMachine Learning
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