Final Project Briefing - Combinatorial Evaluation of Physical Feature Engineering, Classical Machine Learning, and Deep Learning Models for Synchrophasor Data at Scale
{"title":"Final Project Briefing - Combinatorial Evaluation of Physical Feature Engineering, Classical Machine Learning, and Deep Learning Models for Synchrophasor Data at Scale","authors":"M. Bariya","doi":"10.2172/1837767","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":211077,"journal":{"name":"North American Synchrophasor Initiative (NASPI) Working Group Meeting, Fall 2021, Virtual","volume":"237 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"North American Synchrophasor Initiative (NASPI) Working Group Meeting, Fall 2021, Virtual","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2172/1837767","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}