E. Pelikán, K. Eben, J. Resler, P. Jurus, P. Krč, Marek Brabec, T. Brabec, Petr Musilek
{"title":"利用NWP输出的经验模型预测风电功率","authors":"E. Pelikán, K. Eben, J. Resler, P. Jurus, P. Krč, Marek Brabec, T. Brabec, Petr Musilek","doi":"10.1109/EEEIC.2010.5490019","DOIUrl":null,"url":null,"abstract":"This paper presents a simple and robust wind power forecasting approach using inputs from a state-of-the-art numerical weather prediction models (NWP) with mesoscale resolution. The model can be used for short-term and longer term forecasting horizon up to 72 hours ahead. The forecasting ability of the presented approach is demonstrated using real power production data from the Czech Republic.","PeriodicalId":197298,"journal":{"name":"2010 9th International Conference on Environment and Electrical Engineering","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"24","resultStr":"{\"title\":\"Wind power forecasting by an empirical model using NWP outputs\",\"authors\":\"E. Pelikán, K. Eben, J. Resler, P. Jurus, P. Krč, Marek Brabec, T. Brabec, Petr Musilek\",\"doi\":\"10.1109/EEEIC.2010.5490019\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a simple and robust wind power forecasting approach using inputs from a state-of-the-art numerical weather prediction models (NWP) with mesoscale resolution. The model can be used for short-term and longer term forecasting horizon up to 72 hours ahead. The forecasting ability of the presented approach is demonstrated using real power production data from the Czech Republic.\",\"PeriodicalId\":197298,\"journal\":{\"name\":\"2010 9th International Conference on Environment and Electrical Engineering\",\"volume\":\"60 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"24\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 9th International Conference on Environment and Electrical Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EEEIC.2010.5490019\",\"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 9th International Conference on Environment and Electrical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EEEIC.2010.5490019","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Wind power forecasting by an empirical model using NWP outputs
This paper presents a simple and robust wind power forecasting approach using inputs from a state-of-the-art numerical weather prediction models (NWP) with mesoscale resolution. The model can be used for short-term and longer term forecasting horizon up to 72 hours ahead. The forecasting ability of the presented approach is demonstrated using real power production data from the Czech Republic.