A data set for electric power consumption forecasting based on socio-demographic features: Data from an area of southern Colombia.
Data Brief
; 29: 105246, 2020 Apr.
Article
em En
| MEDLINE
| ID: mdl-32083158
In this article, we introduce a data set concerning electric-power consumption-related features registered in seven main municipalities of Nariño, Colombia, from December 2010 to May 2016. The data set consists of 4427 socio-demographic characteristics, and 7 power-consumption-referred measured values. Data were fully collected by the company Centrales Eléctricas de Nariño (CEDENAR) according to the client consumption records. Power consumption data collection was carried following a manual procedure wherein company workers are in charge of manually registering the readings (measured in kWh) reported by the electric energy meters installed at each housing/building. Released data set is aimed at providing researchers a suitable input for designing and assessing the performance of forecasting, modelling, simulation and optimization approaches applied to electric power consumption prediction and characterization problems. The data set, so-named in shorthand PCSTCOL, is freely and publicly available at https://doi.org/10.17632/xbt7scz5ny.3.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Tipo de estudo:
Prognostic_studies
País/Região como assunto:
America do sul
/
Colombia
Idioma:
En
Revista:
Data Brief
Ano de publicação:
2020
Tipo de documento:
Article
País de afiliação:
Equador
País de publicação:
Holanda