Zobrazeno 1 - 10
of 83
pro vyhledávání: '"Miguel A. Sanz-Bobi"'
Publikováno v:
IET Generation, Transmission & Distribution, Vol 18, Iss 12, Pp 2155-2170 (2024)
Abstract Power system protection and asset management present persistent technical challenges, particularly in the context of the smart grid and renewable energy sectors. This paper aims to address these challenges by providing a comprehensive assess
Externí odkaz:
https://doaj.org/article/5814c23957de48faa8620b71d50d72af
Publikováno v:
Emerging Science Journal, Vol 6, Iss 4, Pp 905-920 (2022)
This study aims to study the different kinds of Machine Learning (ML) models and their working principles for asset management in power networks. Also, it investigates the challenges behind asset management and its maintenance activities. In this rev
Externí odkaz:
https://doaj.org/article/b00449fb0c7547aca590d65c0f90c275
Publikováno v:
IEEE Access, Vol 10, Pp 11138-11146 (2022)
Currently, the most popular health indicator used to assess the degradation of lithium-ion batteries (LIBs) is the state-of-health (SOH). This indicator is necessary to ensure the safety, degradation management, and good operation of the battery, for
Externí odkaz:
https://doaj.org/article/f627675cd9fe4185bbe3ffdb53d3baf6
Autor:
David Domínguez-Barbero, Javier García-González, Miguel A. Sanz-Bobi, Eugenio F. Sánchez-Úbeda
Publikováno v:
Energies, Vol 13, Iss 11, p 2830 (2020)
The deployment of microgrids could be fostered by control systems that do not require very complex modelling, calibration, prediction and/or optimisation processes. This paper explores the application of Reinforcement Learning (RL) techniques for the
Externí odkaz:
https://doaj.org/article/47b5853550ff4c1d8679a8e8cea65c90
Publikováno v:
Energies, Vol 10, Iss 3, p 313 (2017)
This paper proposes a model for strategic maintenance scheduling of offshore wind farms (SMSOWF) in a deregulated power system. The objective of the model is to plan the maintenance schedules in a way to maximize the profit of the offshore wind farm
Externí odkaz:
https://doaj.org/article/f66c38ae5a3d4541a5b4dadddc3a5d54
Publikováno v:
IEEE Transactions on Power Delivery. 37:2083-2089
Toughened glass insulators installed in overhead lines play a key role in maintaining the reliability and safety of power systems. The singular properties of toughened glass make this material particularly suitable for this application on account of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a446c959c0bb4bd2b7aff3d2586be7c1
https://doi.org/10.1109/tpwrd.2021.3103894
https://doi.org/10.1109/tpwrd.2021.3103894
Publikováno v:
Energies; Volume 15; Issue 19; Pages: 7317
This study proposes a method for improving the capability of a data-driven multi-agent system (MAS) to perform condition monitoring and fault detection in industrial processes. To mitigate the false fault-detection alarms, a co-operation strategy amo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86c56aca61bac3bcec34fb98fba62373
Autor:
Gopal Lal Rajora, Pablo Calvo Bascones, Carlos Mateo Domingo, Miguel A. Sanz-Bobi, Rafael Palacios Hielscher, Martin Martin, Dajana Vrbicic Tenđera, Hrvoje Keko
Publikováno v:
2022 IEEE International Conference on Power Systems Technology (POWERCON).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21930645ccdfd06f4a563ae3d924dbb5
https://doi.org/10.1109/powercon53406.2022.9930034
https://doi.org/10.1109/powercon53406.2022.9930034
Autor:
Héctor de Santos, Miguel Á. Sanz-Bobi
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7793a6b023d90b607f6e35bfc85806cb
https://doi.org/10.2139/ssrn.4139188
https://doi.org/10.2139/ssrn.4139188
Autor:
María del Carmen Rubiales Mena, Miguel Á. Sanz-Bobi, Antonio Muñoz San Roque, Daniel Gonzalez-Calvo, Tomas Alvarez-Tejedor
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae512fe60471d3643e928e77a4395711
https://doi.org/10.2139/ssrn.4242748
https://doi.org/10.2139/ssrn.4242748