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...

Full description

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