Electrical consumption patterns through machine learning
Electricity distribution companies have been incorporating new technologies that allow them to obtain complete information in real time about their customers´ consumption. Thus, a new concept called "Smart Metering" has been adopted, giving way to new types of meters that interact in an in...
- Autores:
-
amelec, viloria
Senior Naveda, Alexa
Hernández Palma, Hugo
Niebles Núñez, William
Niebles Nuñez, Leonardo David
- 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:11323/5948
- Acceso en línea:
- http://hdl.handle.net/11323/5948
https://repositorio.cuc.edu.co/
- Palabra clave:
- Electrical consumption
Machine learning
Smart metering
- Rights
- openAccess
- License
- CC0 1.0 Universal
| Summary: | Electricity distribution companies have been incorporating new technologies that allow them to obtain complete information in real time about their customers´ consumption. Thus, a new concept called "Smart Metering" has been adopted, giving way to new types of meters that interact in an interconnected system. This will allow to make data analysis, accurate forecasts and detecting consumption patterns that will be relevant for the decision-making process. This research focuses on discovering common patterns among customers from data collected by smart meters. |
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