Multiple Linear Regression Model of Environmental Variables, Predictors of Global Solar Radiation in the Area of East Lima, Peru
Abstract Multiple regression models are very relevant to predict values using predictor variables. The objective of this study was to predict the global solar radiation in the year 2019 in the area of East Lima, Peru. Three continuous quantitative predictor variables were analyzed: temperature, humi...
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| Formato: | Artículo |
| Lenguaje: | inglés |
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2022
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| author | Soria Quijaite, Juan Jesus Poma Porras, Orlando Alan Sumire, David A Fernandez Rojas, Joel Hugo Ramos Chipa, Sulamita Marinela |
| author_browse | Fernandez Rojas, Joel Hugo Poma Porras, Orlando Alan Ramos Chipa, Sulamita Marinela Soria Quijaite, Juan Jesus Sumire, David A |
| author_facet | Soria Quijaite, Juan Jesus Poma Porras, Orlando Alan Sumire, David A Fernandez Rojas, Joel Hugo Ramos Chipa, Sulamita Marinela |
| author_sort | Soria Quijaite, Juan Jesus |
| collection | Producción científica |
| description | Abstract Multiple regression models are very relevant to predict values using predictor variables. The objective of this study was to predict the global solar radiation in the year 2019 in the area of East Lima, Peru. Three continuous quantitative predictor variables were analyzed: temperature, humidity, wind speed and the response variable was global solar radiation, resulting in a model with excellent significance p<0.001 that shows the prediction is effective. The multiple linear regression method was used, finding an average global radiation of 175 W/m2 and predictor variables with average temperature of 19.2 °C, humidity 23.9% and wind speed 1.77 m/s, with the highest temperature in summer recorded at 24.6°C, the highest humidity of 51.2% in autumn, the highest wind speed in summer at 2.63 m/s and the highest maximum global solar radiation in spring with 183 W/m 2 . |
| format | Article |
| id | oai:cris.upeu.edu.pe:20.500.15037/330 |
| institution | UPeU |
| language | English |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
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| spelling | oai:cris.upeu.edu.pe:20.500.15037/3302026-11-02T22:00:04ZMultiple Linear Regression Model of Environmental Variables, Predictors of Global Solar Radiation in the Area of East Lima, PeruSoria Quijaite, Juan JesusPoma Porras, Orlando AlanSumire, David AFernandez Rojas, Joel HugoRamos Chipa, Sulamita MarinelaAbstract Multiple regression models are very relevant to predict values using predictor variables. The objective of this study was to predict the global solar radiation in the year 2019 in the area of East Lima, Peru. Three continuous quantitative predictor variables were analyzed: temperature, humidity, wind speed and the response variable was global solar radiation, resulting in a model with excellent significance p<0.001 that shows the prediction is effective. The multiple linear regression method was used, finding an average global radiation of 175 W/m2 and predictor variables with average temperature of 19.2 °C, humidity 23.9% and wind speed 1.77 m/s, with the highest temperature in summer recorded at 24.6°C, the highest humidity of 51.2% in autumn, the highest wind speed in summer at 2.63 m/s and the highest maximum global solar radiation in spring with 183 W/m 2 .Articlehttps://iopscience.iop.org/article/10.1088/1755-1315/1006/1/012009/pdfhttps://doi.org/10.1088/1755-1315/1006/1/01200910.1088/1755-1315/1006/1/012009https://hdl.handle.net/20.500.15037/330W4221066572enIOP Conference Series Earth and Environmental Science1755-13151755-13072022-04-012026-06-13T08:10:57Z2026-06-13T08:10:57Z |
| spellingShingle | Soria Quijaite, Juan Jesus Poma Porras, Orlando Alan Sumire, David A Fernandez Rojas, Joel Hugo Ramos Chipa, Sulamita Marinela Multiple Linear Regression Model of Environmental Variables, Predictors of Global Solar Radiation in the Area of East Lima, Peru |
| title | Multiple Linear Regression Model of Environmental Variables, Predictors of Global Solar Radiation in the Area of East Lima, Peru |
| title_full | Multiple Linear Regression Model of Environmental Variables, Predictors of Global Solar Radiation in the Area of East Lima, Peru |
| title_fullStr | Multiple Linear Regression Model of Environmental Variables, Predictors of Global Solar Radiation in the Area of East Lima, Peru |
| title_full_unstemmed | Multiple Linear Regression Model of Environmental Variables, Predictors of Global Solar Radiation in the Area of East Lima, Peru |
| title_short | Multiple Linear Regression Model of Environmental Variables, Predictors of Global Solar Radiation in the Area of East Lima, Peru |
| title_sort | multiple linear regression model of environmental variables predictors of global solar radiation in the area of east lima peru |
| url | https://iopscience.iop.org/article/10.1088/1755-1315/1006/1/012009/pdf https://doi.org/10.1088/1755-1315/1006/1/012009 https://hdl.handle.net/20.500.15037/330 |
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