Prediction of electric consumption using multiple linear regression methods
In the new global and local scenario, the advent of intelligent distribution networks, or Smart Grids, allows the collection of data about the operational state of the electric network in real time. Based on this data availability, the consumption prediction becomes feasible and convenient in the sh...
- Autores:
-
Viloria, Amelec
Hernandez-P, Hugo
Pineda, Omar
Vargas, Jesús
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2020
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/7782
- Acceso en línea:
- https://hdl.handle.net/11323/7782
https://doi.org/10.1007/978-981-15-3125-5_45
https://repositorio.cuc.edu.co/
- Palabra clave:
- Energy consumption
Short term load forecasting
Variable selection
Linear regression
- Rights
- openAccess
- License
- Attribution-NonCommercial-NoDerivatives 4.0 International