{"title":"巴拿马共和国最高用电量地区温度与负荷需求关系分析","authors":"C. Boya","doi":"10.1109/IESTEC46403.2019.00-88","DOIUrl":null,"url":null,"abstract":"In this work, the relationship between temperature and the electrical consumption using load demand is analyzed. It is done using data from the two geographical areas with the highest percentage of consumption in the Republic of Panama: Metropolitan Region of Panama City and the Central Provinces. Data are analyzed with Regression Analysis and Wavelet Coherence. It is determined that in general, the power changes proportionally with the temperature, although not linearly, in all the years considered. However, evidence is presented that indicates that the temperature influences linearly over the load demand in certain years, which implies an oscillating relationship between temperature and electrical consumption.","PeriodicalId":388062,"journal":{"name":"2019 7th International Engineering, Sciences and Technology Conference (IESTEC)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Analyzing the Relationship between Temperature and Load Demand in the Regions with the Highest Electricity Consumption in the Republic of Panama\",\"authors\":\"C. Boya\",\"doi\":\"10.1109/IESTEC46403.2019.00-88\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this work, the relationship between temperature and the electrical consumption using load demand is analyzed. It is done using data from the two geographical areas with the highest percentage of consumption in the Republic of Panama: Metropolitan Region of Panama City and the Central Provinces. Data are analyzed with Regression Analysis and Wavelet Coherence. It is determined that in general, the power changes proportionally with the temperature, although not linearly, in all the years considered. However, evidence is presented that indicates that the temperature influences linearly over the load demand in certain years, which implies an oscillating relationship between temperature and electrical consumption.\",\"PeriodicalId\":388062,\"journal\":{\"name\":\"2019 7th International Engineering, Sciences and Technology Conference (IESTEC)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 7th International Engineering, Sciences and Technology Conference (IESTEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IESTEC46403.2019.00-88\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 7th International Engineering, Sciences and Technology Conference (IESTEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IESTEC46403.2019.00-88","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analyzing the Relationship between Temperature and Load Demand in the Regions with the Highest Electricity Consumption in the Republic of Panama
In this work, the relationship between temperature and the electrical consumption using load demand is analyzed. It is done using data from the two geographical areas with the highest percentage of consumption in the Republic of Panama: Metropolitan Region of Panama City and the Central Provinces. Data are analyzed with Regression Analysis and Wavelet Coherence. It is determined that in general, the power changes proportionally with the temperature, although not linearly, in all the years considered. However, evidence is presented that indicates that the temperature influences linearly over the load demand in certain years, which implies an oscillating relationship between temperature and electrical consumption.
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