{"title":"利用 LSTM 进行风电预测并与不同的机器学习算法进行比较：土耳其西南部案例研究","authors":"Mehmet Ali Yelgeç, Okan Bingöl","doi":"10.1080/15325008.2024.2327826","DOIUrl":null,"url":null,"abstract":"Wind is a renewable energy resource but its intermittent nature poses some issues for transmission system operators, wind farms, and the electricity market. To address these issues, wind power fore...","PeriodicalId":50548,"journal":{"name":"Electric Power Components and Systems","volume":null,"pages":null},"PeriodicalIF":1.7000,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Wind Power Forecasting With LSTM and Comparison With Different Machine Learning Algorithms: A Case Study of Southwestern Turkey\",\"authors\":\"Mehmet Ali Yelgeç, Okan Bingöl\",\"doi\":\"10.1080/15325008.2024.2327826\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Wind is a renewable energy resource but its intermittent nature poses some issues for transmission system operators, wind farms, and the electricity market. To address these issues, wind power fore...\",\"PeriodicalId\":50548,\"journal\":{\"name\":\"Electric Power Components and Systems\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2024-03-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Electric Power Components and Systems\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1080/15325008.2024.2327826\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electric Power Components and Systems","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/15325008.2024.2327826","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Wind Power Forecasting With LSTM and Comparison With Different Machine Learning Algorithms: A Case Study of Southwestern Turkey
Wind is a renewable energy resource but its intermittent nature poses some issues for transmission system operators, wind farms, and the electricity market. To address these issues, wind power fore...
期刊介绍：
Electric Power Components and Systems publishes original theoretical and applied papers of permanent reference value related to the broad field of electric machines and drives, power electronics converters, electromechanical devices, electrical equipment, renewable and sustainable electric energy applications, and power systems.
Specific topics covered include:
-Electric machines-
Solid-state control of electric machine drives-
Power electronics converters-
Electromagnetic fields in energy converters-
Renewable energy generators and systems-
Power system planning-
Transmission and distribution-
Power system protection-
Dispatching and scheduling-
Stability, reliability, and security-
Renewable energy integration-
Smart-grid and micro-grid technologies.
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