{"title":"非概率不确定条件下最优契约组合的建立","authors":"L. Pinto, M. Fernández, L. Macedo, J. Szczupak","doi":"10.1109/PCT.2007.4538665","DOIUrl":null,"url":null,"abstract":"This paper proposes an integrated solution to the optimum portfolio building considering price and demand uncertainties. More than simply assessing risks, the proposed approach opens the possibility of a real and effective risk management, including maximum risk levels as optimization constraints. The resulting model corresponds to a stochastic non-linear integer programming problem and is solved by a customized algorithm, designed for efficiency and reliability. Possible extensions (targeting special markets customization) are straightforward and may be easily taken into account.","PeriodicalId":356805,"journal":{"name":"2007 IEEE Lausanne Power Tech","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Building the Optimal Contract Portfolio under Non-Probabilistic Uncertainties\",\"authors\":\"L. Pinto, M. Fernández, L. Macedo, J. Szczupak\",\"doi\":\"10.1109/PCT.2007.4538665\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes an integrated solution to the optimum portfolio building considering price and demand uncertainties. More than simply assessing risks, the proposed approach opens the possibility of a real and effective risk management, including maximum risk levels as optimization constraints. The resulting model corresponds to a stochastic non-linear integer programming problem and is solved by a customized algorithm, designed for efficiency and reliability. Possible extensions (targeting special markets customization) are straightforward and may be easily taken into account.\",\"PeriodicalId\":356805,\"journal\":{\"name\":\"2007 IEEE Lausanne Power Tech\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 IEEE Lausanne Power Tech\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PCT.2007.4538665\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE Lausanne Power Tech","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PCT.2007.4538665","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Building the Optimal Contract Portfolio under Non-Probabilistic Uncertainties
This paper proposes an integrated solution to the optimum portfolio building considering price and demand uncertainties. More than simply assessing risks, the proposed approach opens the possibility of a real and effective risk management, including maximum risk levels as optimization constraints. The resulting model corresponds to a stochastic non-linear integer programming problem and is solved by a customized algorithm, designed for efficiency and reliability. Possible extensions (targeting special markets customization) are straightforward and may be easily taken into account.