Analyzing and predicting power consumption profiles using big data
The Euclidean distance (ED), the mean absolute error (MAE), the mean absolute percentage error (MAPE) and the root of the mean quadratic error (RMQE) are used to evaluate the predictive capability of the models supported by each statistical method, asserting, according to the assessment, that the be...
- Autores:
-
amelec, viloria
Prieto Pulido, Ronald Antonio
García Guiliany, Jesús
Martínez Ventura, Jairo
Hernández Palma, Hugo
Jinete Torres, José
REDONDO BILBAO, OSMAN ENRIQUE
Pineda Lezam, Omar Bonerge
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2019
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/5828
- Acceso en línea:
- https://hdl.handle.net/11323/5828
https://repositorio.cuc.edu.co/
- Palabra clave:
- Prediction
Power consumption
Big Data
ARIMA
Predicción
Consumo de energía
- Rights
- openAccess
- License
- CC0 1.0 Universal