Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Miguel Á. 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
Autor:
Héctor de Santos, Miguel Á. Sanz-Bobi
Publikováno v:
SSRN Electronic Journal.
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.
Autor:
Miguel A. Sanz-Bobi
This book addresses the use, operation and maintenance of new renewable energy systems, taking into account their integration in the current electrical markets and in the new emergent uses of energy. The book is based on practical experiences which p
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
Conference
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Conference
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