{"title":"根据功率和指数提前一天预测风速","authors":"M. Gholami, G. Gharehpetian, M. Davari","doi":"10.1109/PEOCO.2010.5559177","DOIUrl":null,"url":null,"abstract":"This paper presents a new model for predicting wind speed. This technique is based on using a power and a exponential model relating the predicted interval to its corresponding one-year old data. The accuracy of the model for predicting wind speeds and directions up to 24 h ahead have been investigated using two sets of data. Generated results are compared with reference [1]. The presented results validate the effectiveness and accuracy of the proposed prediction model for wind speed.","PeriodicalId":379868,"journal":{"name":"2010 4th International Power Engineering and Optimization Conference (PEOCO)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"One day ahead prediction of wind speed based on power and exponential\",\"authors\":\"M. Gholami, G. Gharehpetian, M. Davari\",\"doi\":\"10.1109/PEOCO.2010.5559177\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a new model for predicting wind speed. This technique is based on using a power and a exponential model relating the predicted interval to its corresponding one-year old data. The accuracy of the model for predicting wind speeds and directions up to 24 h ahead have been investigated using two sets of data. Generated results are compared with reference [1]. The presented results validate the effectiveness and accuracy of the proposed prediction model for wind speed.\",\"PeriodicalId\":379868,\"journal\":{\"name\":\"2010 4th International Power Engineering and Optimization Conference (PEOCO)\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-06-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 4th International Power Engineering and Optimization Conference (PEOCO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PEOCO.2010.5559177\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 4th International Power Engineering and Optimization Conference (PEOCO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PEOCO.2010.5559177","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
One day ahead prediction of wind speed based on power and exponential
This paper presents a new model for predicting wind speed. This technique is based on using a power and a exponential model relating the predicted interval to its corresponding one-year old data. The accuracy of the model for predicting wind speeds and directions up to 24 h ahead have been investigated using two sets of data. Generated results are compared with reference [1]. The presented results validate the effectiveness and accuracy of the proposed prediction model for wind speed.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
