首页|Findings on Machine Learning Detailed by Investigators at Zhejiang University (A Machine Learning-based Svg Parameter Identification Framework Using Hardware-in -the-loop Testbed)
Findings on Machine Learning Detailed by Investigators at Zhejiang University (A Machine Learning-based Svg Parameter Identification Framework Using Hardware-in -the-loop Testbed)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Researchers detail new data in Machine Learning. According to news reporting originatingfrom Hangzhou, People’s Repub lic of China, by NewsRx correspondents, research stated, “StaticVar Generator ( SVG) can effectively compensate reactive power for maintaining acceptable bus vo ltagelevels before and after major disturbances. Accurate model parameters of S VG controllers are essential toensure reliable simulation of SVG dynamic behavi or for power system planning and operational decisionmakings.”
HangzhouPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningZhejiang University
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