An analysis of different temporal window sizes and image-based features with convolutional neural networks for demand-side management (2025)
- Authors:
- USP affiliated authors: COURY, DENIS VINICIUS - EESC ; FERNANDES, RICARDO AUGUSTO SOUZA - EESC ; CORRÊA, JUAN SALIN - EESC ; BARBALHO, PEDRO INÁCIO DE NASCIMENTO E - EESC
- Unidade: EESC
- DOI: 10.1109/ISGTLA64895.2025.11371083
- Subjects: REDES NEURAIS; SISTEMAS ELÉTRICOS DE POTÊNCIA; ENGENHARIA ELÉTRICA
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Piscataway, NJ, USA
- Date published: 2025
- Source:
- Título: Proceedings
- Conference titles: IEEE PES Conference on Innovative Smart Grid Technologies - ISGT Latin America
-
ABNT
CORRÊA, Juan Salin et al. An analysis of different temporal window sizes and image-based features with convolutional neural networks for demand-side management. 2025, Anais.. Piscataway, NJ, USA: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2025. Disponível em: https://dx.doi.org/10.1109/ISGTLA64895.2025.11371083. Acesso em: 02 abr. 2026. -
APA
Corrêa, J. S., Fernandes, R. A. S., Barbalho, P. I. de N. e, & Coury, D. V. (2025). An analysis of different temporal window sizes and image-based features with convolutional neural networks for demand-side management. In Proceedings. Piscataway, NJ, USA: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1109/ISGTLA64895.2025.11371083 -
NLM
Corrêa JS, Fernandes RAS, Barbalho PI de N e, Coury DV. An analysis of different temporal window sizes and image-based features with convolutional neural networks for demand-side management [Internet]. Proceedings. 2025 ;[citado 2026 abr. 02 ] Available from: https://dx.doi.org/10.1109/ISGTLA64895.2025.11371083 -
Vancouver
Corrêa JS, Fernandes RAS, Barbalho PI de N e, Coury DV. An analysis of different temporal window sizes and image-based features with convolutional neural networks for demand-side management [Internet]. Proceedings. 2025 ;[citado 2026 abr. 02 ] Available from: https://dx.doi.org/10.1109/ISGTLA64895.2025.11371083 - Improving the identification of residential loads using deep transfer learning feature extraction: a comparative analysis
- Embedded deep reinforcement learning controller for flexible load management: an approach validated in a hardware-in-the-loop platform
- Reinforcement learning solutions for microgrid control and management: a survey
- Hardware-in-the-loop testing of a deep deterministic policy gradient algorithm as a microgrid secondary controller
- Deep reinforcement learning-based secondary control for microgrids in islanded mode
- Adaptive hybrid tripping microgrid protection strategy with embedded hardware validation
- Adaptive hybrid tripping microgrid protection strategy with embedded hardware validation
- Assessing machine learning algorithms for improved fault location in interconnection lines of wind farms
- High impedance fault location in distribution systems: a novel approach with enhanced metrics and intelligent algorithms
- Alocação otimizada de baterias em uma microrrede utilizando algoritmos genéticos
Informações sobre a disponibilidade de versões do artigo em acesso aberto coletadas automaticamente via oaDOI API (Unpaywall).
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 |
PROD_28373_SYSNO_3296046.... |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
