Applications of Digital Twins in Power Systems: A Perspective
Data science-based digital twin models of renewable energy system technologies developed in a real-time data-rich environment help develop better decisions and predictions than those in the present environment. Based on this real-time analysis of countrywide data, digital twin contributes to effecti...
- Autores:
-
Kamyabi, Leila
Lie, Tek Tjing
Madanian, Samaneh
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2022
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/13503
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/13503
https://doi.org/10.32397/tesea.vol3.n2.484
- Palabra clave:
- Data Sciences
Digital Twin
Power Systems
solar PV and Wind Turbine Generation
- Rights
- openAccess
- License
- Tek Tjing Lie, Leila Kamyabi, Samaneh Madanian - 2022