Maksims Feofilovs, Armands Gravelsins, F. Romagnoli
{"title":"灾害恢复能力评估方法综述:(可再生能源系统建模的定量方面)","authors":"Maksims Feofilovs, Armands Gravelsins, F. Romagnoli","doi":"10.1109/RTUCON51174.2020.9316607","DOIUrl":null,"url":null,"abstract":"The topicality of resilience assessment has grown in many science fields over last decades, including energy systems modeling. The variety of existing resilience assessment methods is large, therefore this article outlines the most important features of different quantitative methods. The conclusions of literature review performed in this study provide relevant information for energy systems modelers that aim at integrating resilience assessment into their models.","PeriodicalId":332414,"journal":{"name":"2020 IEEE 61th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Review of disaster resilience assessment methods: (Quantitative aspects for renewable energy systems modelling)\",\"authors\":\"Maksims Feofilovs, Armands Gravelsins, F. Romagnoli\",\"doi\":\"10.1109/RTUCON51174.2020.9316607\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The topicality of resilience assessment has grown in many science fields over last decades, including energy systems modeling. The variety of existing resilience assessment methods is large, therefore this article outlines the most important features of different quantitative methods. The conclusions of literature review performed in this study provide relevant information for energy systems modelers that aim at integrating resilience assessment into their models.\",\"PeriodicalId\":332414,\"journal\":{\"name\":\"2020 IEEE 61th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-11-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 61th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RTUCON51174.2020.9316607\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 61th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RTUCON51174.2020.9316607","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Review of disaster resilience assessment methods: (Quantitative aspects for renewable energy systems modelling)
The topicality of resilience assessment has grown in many science fields over last decades, including energy systems modeling. The variety of existing resilience assessment methods is large, therefore this article outlines the most important features of different quantitative methods. The conclusions of literature review performed in this study provide relevant information for energy systems modelers that aim at integrating resilience assessment into their models.