Zobrazeno 1 - 10
of 72
pro vyhledávání: '"Lina Bertling Tjernberg"'
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:
Wind Energy, Vol 24, Iss 11, Pp 1249-1262 (2021)
Abstract This paper proposes a fault detection framework for the condition monitoring of wind turbines. The framework models and analyzes the data in supervisory control and data acquisition systems. For log information, each event is mapped to an as
Externí odkaz:
https://doaj.org/article/5b6874ffd7bf434b9f89b66992e02963
Autor:
Azim Heydari, Davide Astiaso Garcia, Afef Fekih, Farshid Keynia, Lina Bertling Tjernberg, Livio De Santoli
Publikováno v:
IEEE Access, Vol 9, Pp 89878-89890 (2021)
Wind turbines (WTs) are often operated in harsh and remote environments, thus making them more prone to faults and costly repairs. Additionally, the recent surge in wind farm installations have resulted in a dramatic increase in wind turbine data. In
Externí odkaz:
https://doaj.org/article/46f16bf5a30348a6b923eb19e22ee8a0
Publikováno v:
Energies, Vol 15, Iss 9, p 3237 (2022)
Electric power grids, which form an essential part of the critical infrastructure, are evolving into highly distributed, dynamic networks in order to address the climate change. This fundamental transition relies on extensive automation solutions bas
Externí odkaz:
https://doaj.org/article/422ff18e8af04c03b98f3bd83f96ce7b
Autor:
Azim Heydari, Meysam Majidi Nezhad, Mehdi Neshat, Davide Astiaso Garcia, Farshid Keynia, Livio De Santoli, Lina Bertling Tjernberg
Publikováno v:
Energies, Vol 14, Iss 12, p 3459 (2021)
A cost-effective and efficient wind energy production trend leads to larger wind turbine generators and drive for more advanced forecast models to increase their accuracy. This paper proposes a combined forecasting model that consists of empirical mo
Externí odkaz:
https://doaj.org/article/ceb966cc0c534cbab1a935164761fc15
Publikováno v:
International Journal of Prognostics and Health Management, Vol 7, Iss 4 (2016)
In this paper, a data driven method for Wind Turbine system level anomaly detection and root sub-component identification is proposed. Supervisory control and data acquisition system (SCADA) data of WT is adopted and several parameters are selected b
Externí odkaz:
https://doaj.org/article/59c6e609e8054e73a189e81a71ae83be
Publikováno v:
International Journal of Hydrogen Energy.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c691d807fdd40cd741dacd711d655f8
https://doi.org/10.1016/j.ijhydene.2023.04.192
https://doi.org/10.1016/j.ijhydene.2023.04.192
Publikováno v:
IEEE Electrification Magazine. 9:112-119
The Introduction of Smart Meters (SMs) is one of the fundamental changes for the intelligent power grid. SMs provide input data from the electricity customers, which might also be a local electricity producer, also called prosumers. This article prop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c0158180adbf022754f4bbd8b946a93
https://doi.org/10.1109/mele.2021.3093638
https://doi.org/10.1109/mele.2021.3093638
Publikováno v:
2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cbb071c96e3cae7c6e58cbadf964497c
https://doi.org/10.1109/isgt-europe54678.2022.9960622
https://doi.org/10.1109/isgt-europe54678.2022.9960622
Autor:
Lucas Tunelid, Micheal Peri, Srinath Sathyamoorthy, Hamza Shafique, Andres Rozas, Lina Bertling Tjernberg
Publikováno v:
2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::524ec1dc53b23d31cfdb601ce05862d2
https://doi.org/10.1109/isgt-europe54678.2022.9960580
https://doi.org/10.1109/isgt-europe54678.2022.9960580