{"title":"集成 RNN-LSTM 的可再生能源生产混合预测模型","authors":"Sreekumar Narayanan, Rajiv Kumar, Sudhir Ramadass, Jayaraj Ramasamy","doi":"10.1080/15325008.2024.2316247","DOIUrl":null,"url":null,"abstract":"Renewable energy production forecasting is vital for effective grid management and energy trading. Traditional forecasting methods often fall short in capturing the complex and dynamic nature of re...","PeriodicalId":50548,"journal":{"name":"Electric Power Components and Systems","volume":null,"pages":null},"PeriodicalIF":1.7000,"publicationDate":"2024-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Hybrid Forecasting Model Integrating RNN-LSTM for Renewable Energy Production\",\"authors\":\"Sreekumar Narayanan, Rajiv Kumar, Sudhir Ramadass, Jayaraj Ramasamy\",\"doi\":\"10.1080/15325008.2024.2316247\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Renewable energy production forecasting is vital for effective grid management and energy trading. Traditional forecasting methods often fall short in capturing the complex and dynamic nature of re...\",\"PeriodicalId\":50548,\"journal\":{\"name\":\"Electric Power Components and Systems\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2024-03-07\",\"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/10.1080/15325008.2024.2316247\",\"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/10.1080/15325008.2024.2316247","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}
Hybrid Forecasting Model Integrating RNN-LSTM for Renewable Energy Production
Renewable energy production forecasting is vital for effective grid management and energy trading. Traditional forecasting methods often fall short in capturing the complex and dynamic nature of re...
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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