{"title":"使用基于 MPI 的 KMEANS 聚类算法，通过并行编程预测风能位置","authors":"Priya Ponnuswamy, Shabariram Chokkalingam Palaniappan","doi":"10.1080/15567036.2024.2334923","DOIUrl":null,"url":null,"abstract":"Renewable energy resources, like the power of the wind, are the essential sources of energy in today’s world. To keep down the greenhouse energy degasification and stop global warming, it is very i...","PeriodicalId":11563,"journal":{"name":"Energy Sources Part A-recovery Utilization and Environmental Effects","volume":"44 1","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2024-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Prediction of wind energy location by parallel programming using MPI-based KMEANS clustering algorithm\",\"authors\":\"Priya Ponnuswamy, Shabariram Chokkalingam Palaniappan\",\"doi\":\"10.1080/15567036.2024.2334923\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Renewable energy resources, like the power of the wind, are the essential sources of energy in today’s world. To keep down the greenhouse energy degasification and stop global warming, it is very i...\",\"PeriodicalId\":11563,\"journal\":{\"name\":\"Energy Sources Part A-recovery Utilization and Environmental Effects\",\"volume\":\"44 1\",\"pages\":\"\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2024-04-11\",\"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/10.1080/15567036.2024.2334923\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy Sources Part A-recovery Utilization and Environmental Effects","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/15567036.2024.2334923","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}
Prediction of wind energy location by parallel programming using MPI-based KMEANS clustering algorithm
Renewable energy resources, like the power of the wind, are the essential sources of energy in today’s world. To keep down the greenhouse energy degasification and stop global warming, it is very i...
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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