{"title":"面向运维成本仿真与优化的MAS模型:以某风电运营商为例","authors":"Miguel Kpakpo, M. Itmi","doi":"10.1109/CIST.2016.7804974","DOIUrl":null,"url":null,"abstract":"The aim of this work in progress is to define a MAS model for cost optimization in an industrial environment. The system, a decision support instrument, must provide alerts and tips that maximize the benefits. In the following we highlight the MAS details. We mainly present the agents and give a detailed description for each one with its goals and its environment. The system purpose is to optimize the wind farms O&M cost.","PeriodicalId":196827,"journal":{"name":"2016 4th IEEE International Colloquium on Information Science and Technology (CiSt)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A MAS model for O&M cost simulation and optimization: Case of a wind power operator\",\"authors\":\"Miguel Kpakpo, M. Itmi\",\"doi\":\"10.1109/CIST.2016.7804974\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The aim of this work in progress is to define a MAS model for cost optimization in an industrial environment. The system, a decision support instrument, must provide alerts and tips that maximize the benefits. In the following we highlight the MAS details. We mainly present the agents and give a detailed description for each one with its goals and its environment. The system purpose is to optimize the wind farms O&M cost.\",\"PeriodicalId\":196827,\"journal\":{\"name\":\"2016 4th IEEE International Colloquium on Information Science and Technology (CiSt)\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 4th IEEE International Colloquium on Information Science and Technology (CiSt)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIST.2016.7804974\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 4th IEEE International Colloquium on Information Science and Technology (CiSt)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIST.2016.7804974","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A MAS model for O&M cost simulation and optimization: Case of a wind power operator
The aim of this work in progress is to define a MAS model for cost optimization in an industrial environment. The system, a decision support instrument, must provide alerts and tips that maximize the benefits. In the following we highlight the MAS details. We mainly present the agents and give a detailed description for each one with its goals and its environment. The system purpose is to optimize the wind farms O&M cost.