{"title":"Prediction of daily photovoltaic plant energy output using machine learning","authors":"Bharat Girdhani, Meena Agrawal","doi":"10.1080/15567036.2024.2341975","DOIUrl":null,"url":null,"abstract":"The energy crisis and global warming are the two significant factors that have led to the accelerated development of PV power plants. Accurate prediction of PV plant power output is crucial to enha...","PeriodicalId":11563,"journal":{"name":"Energy Sources Part A-recovery Utilization and Environmental Effects","volume":"2 1","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2024-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy Sources Part A-recovery Utilization and Environmental Effects","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/15567036.2024.2341975","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
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Abstract
The energy crisis and global warming are the two significant factors that have led to the accelerated development of PV power plants. Accurate prediction of PV plant power output is crucial to enha...
期刊介绍：
Energy Sources Part A: Recovery, Utilization, and Environmental Effects aims to investigate resolutions for the continuing increase in worldwide demand for energy, the diminishing accessibility of natural energy resources, and the growing impact of energy use on the environment.
You are invited to submit manuscripts that explore the technological, scientific and environmental aspects of:
Coal energy sources
Geothermal energy sources
Natural gas
Nuclear energy sources
Oil shale energy sources
Organic waste from energy use
Petroleum
Solar energy sources
Tar utilization
Sand utilization
Wind energy.
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