首页|Investigators from Shandong University Report New Data on Support Vector Machine s (Optimized Decomposition and Identification Method for Multiple Power Quality Disturbances)
Investigators from Shandong University Report New Data on Support Vector Machine s (Optimized Decomposition and Identification Method for Multiple Power Quality Disturbances)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Support Vector Machines are presented in a new report. According tonews reporting originating in Jinan, People’s Republic of China, by NewsRx journalists, research stated,“The comple xity of power quality (PQ) concerns is intensifying in tandem with the prolifera tion of inverterbasedrenewable energy systems. The integration of power electr onic devices within the distributionnetwork exacerbates the complexity and intr oduces greater temporal variability to signal components.”
JinanPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningSupport Vector MachinesVector Machin esShandong University
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