{"title":"基于数据开放平台的灰色模型温度预测","authors":"Rui Gu, Wei Li","doi":"10.1109/ICISCAE52414.2021.9590782","DOIUrl":null,"url":null,"abstract":"Based on the grey prediction GM(1,1) model, the monthly mean temperature in Shenzhen China in 2020 is predicted by selecting 7 years' meteorological data. The monthly mean temperature in 2020 is verified by known temperature data in the first 11 months from data open platform. Then the prediction model was verified by residual test, correlation test and posteriori test. The results showed that the model has higher accuracy and can accurately reflect the actual situation.","PeriodicalId":115061,"journal":{"name":"International Conference on Information Systems and Computer Aided Education","volume":"74 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Temperature Prediction Using Gray Model Based on Data Open Platform\",\"authors\":\"Rui Gu, Wei Li\",\"doi\":\"10.1109/ICISCAE52414.2021.9590782\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on the grey prediction GM(1,1) model, the monthly mean temperature in Shenzhen China in 2020 is predicted by selecting 7 years' meteorological data. The monthly mean temperature in 2020 is verified by known temperature data in the first 11 months from data open platform. Then the prediction model was verified by residual test, correlation test and posteriori test. The results showed that the model has higher accuracy and can accurately reflect the actual situation.\",\"PeriodicalId\":115061,\"journal\":{\"name\":\"International Conference on Information Systems and Computer Aided Education\",\"volume\":\"74 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Information Systems and Computer Aided Education\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICISCAE52414.2021.9590782\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Information Systems and Computer Aided Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICISCAE52414.2021.9590782","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Temperature Prediction Using Gray Model Based on Data Open Platform
Based on the grey prediction GM(1,1) model, the monthly mean temperature in Shenzhen China in 2020 is predicted by selecting 7 years' meteorological data. The monthly mean temperature in 2020 is verified by known temperature data in the first 11 months from data open platform. Then the prediction model was verified by residual test, correlation test and posteriori test. The results showed that the model has higher accuracy and can accurately reflect the actual situation.
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