| Title |
Forecasting residential electric power consumption for Bogota Colombia using regression models |
| ID_Doc |
15931 |
| Authors |
Peña-Guzmán, C; Rey, J |
| Title |
Forecasting residential electric power consumption for Bogota Colombia using regression models |
| Year |
2020 |
| Published |
|
| DOI |
10.1016/j.egyr.2019.09.026 |
| Abstract |
This study presents three models of multiple linear regressions for forecasting energy demand. The first is a simple multiple linear regression, the second model has an economic interpretation of coefficients (econometric), while the third model is developed in the form of double logarithm economic regression. The article was developed based on the six socio-economic strata in Bogota City. The second model is shown to be superior to the multiple linear regression model with a climatic approach and the econometric model of double logarithm in terms of precision in the calculation of the electric energy demand, as evidenced in the model evaluation tools used, such as the coefficient of determination, with values higher than 0.9 except in stratum 5. (C) 2019 Published by Elsevier Ltd. |
| Author Keywords |
Energy demand; Forecasting; Multiple linear regressions |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED); Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000518455400088 |
| WoS Category |
Energy & Fuels |
| Research Area |
Energy & Fuels |
| PDF |
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