Intelligent resource allocation in power grids: leveraging variable neighborhood search for optimal switch allocation (2024)
- Authors:
- USP affiliated authors: MACIEL, CARLOS DIAS - EESC ; PEREIRA JUNIOR, BENVINDO RODRIGUES - EESC ; FOGLIATTO, MATHEUS DE SOUZA SANT'ANNA - EESC ; CAETANO, HENRIQUE DE OLIVEIRA - EESC ; DESUÓ NETO, LUIZ - EESC
- Unidade: EESC
- DOI: 10.1109/EAIS58494.2024.10570012
- Subjects: MÉTODO DE MONTE CARLO; DISTRIBUIÇÃO DE ENERGIA ELÉTRICA; ENGENHARIA ELÉTRICA
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Picataway, NJ, USA
- Date published: 2024
- Source:
- Título: Proceedings
- Conference titles: IEEE International Conference on Evolving and Adaptive Intelligent Systems
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
CAETANO, Henrique de Oliveira et al. Intelligent resource allocation in power grids: leveraging variable neighborhood search for optimal switch allocation. 2024, Anais.. Picataway, NJ, USA: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2024. Disponível em: https://dx.doi.org/10.1109/EAIS58494.2024.10570012. Acesso em: 27 dez. 2025. -
APA
Caetano, H. de O., Fogliatto, M. de S. S. 'A., Desuó Neto, L., Pereira Junior, B. R., Maciel, C. D., & Aiello, M. (2024). Intelligent resource allocation in power grids: leveraging variable neighborhood search for optimal switch allocation. In Proceedings. Picataway, NJ, USA: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1109/EAIS58494.2024.10570012 -
NLM
Caetano H de O, Fogliatto M de SS'A, Desuó Neto L, Pereira Junior BR, Maciel CD, Aiello M. Intelligent resource allocation in power grids: leveraging variable neighborhood search for optimal switch allocation [Internet]. Proceedings. 2024 ;[citado 2025 dez. 27 ] Available from: https://dx.doi.org/10.1109/EAIS58494.2024.10570012 -
Vancouver
Caetano H de O, Fogliatto M de SS'A, Desuó Neto L, Pereira Junior BR, Maciel CD, Aiello M. Intelligent resource allocation in power grids: leveraging variable neighborhood search for optimal switch allocation [Internet]. Proceedings. 2024 ;[citado 2025 dez. 27 ] Available from: https://dx.doi.org/10.1109/EAIS58494.2024.10570012 - Distribution systems cost reduction based on switches upgrades: a stochastic approach
- Resilience assessment of critical infrastructures using dynamic Bayesian networks and evidence propagation
- A multilevel crews patrolling framework for distribution system recovering
- Greenhouse gas emissions analysis for electricity generation
- Electric power distribution maintenance crews routing for fault location: time to bite the road-network disruptions bullet ?
- Hydropower generation forecast using a bayesian hierarchical model
- A multilayer system and optimization framework for team dispatch towards service recovery
- A bayesian hierarchical model to create synthetic power distribution systems
- A variable neighborhood descent approach for electrical grids as an overload reduction method
- Metaheuristic search for optimum cost-benefit resilience level by redundancy adding
Informações sobre o DOI: 10.1109/EAIS58494.2024.10570012 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
| Intelligent_Resource_Allo... |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
