Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Alba Alcañiz"'
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 447-471 (2023)
The share of solar energy in the electricity mix increases year after year. Knowing the production of photovoltaic (PV) power at each instant of time is crucial for its integration into the grid. However, due to meteorological phenomena, PV power out
Externí odkaz:
https://doaj.org/article/2fec4352e7b74ac9afe8879a5dca1aa9
Publikováno v:
Global Challenges, Vol 7, Iss 1, Pp n/a-n/a (2023)
Abstract Machine learning is arising as a major solution for the photovoltaic (PV) power prediction. Despite the abundant literature, the effect of climate on yield predictions using machine learning is unknown. This work aims to find climatic trends
Externí odkaz:
https://doaj.org/article/67d0aae304bc4f92abe472b750996bf8
Publikováno v:
Solar Energy, 251
Due to the inherent uncertainty in photovoltaic (PV) energy generation, an accurate power forecasting is essential to ensure a reliable operation of PV systems and a safe electric grid. Machine learning (ML) techniques have gained popularity on the d
Publikováno v:
Global challenges, 7(1):2200166
Global Challenges, 7 (2023)(1)
Global Challenges, 7 (2023)(1)
Machine learning is arising as a major solution for the photovoltaic (PV) power prediction. Despite the abundant literature, the effect of climate on yield predictions using machine learning is unknown. This work aims to find climatic trends by predi
Publikováno v:
Progress in Photovoltaics: Research and Applications. 30
Publikováno v:
Energy Reports, 9
The share of solar energy in the electricity mix increases year after year. Knowing the production of photovoltaic (PV) power at each instant of time is crucial for its integration into the grid. However, due to meteorological phenomena, PV power out
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f1c6f38a21623e0bb39dd02c6ebbf5d
http://resolver.tudelft.nl/uuid:09a18b35-3b0a-4b8e-a3d2-bb5b82f228af
http://resolver.tudelft.nl/uuid:09a18b35-3b0a-4b8e-a3d2-bb5b82f228af
Autor:
Liqi Cao, Paul Procel, Alba Alcañiz, Jin Yan, Frans Tichelaar, Engin Özkol, Yifeng Zhao, Can Han, Guangtao Yang, Zhirong Yao, Miro Zeman, Rudi Santbergen, Luana Mazzarella, Olindo Isabella
Publikováno v:
Progress in Photovoltaics: research and applications
Thin films of transition metal oxides such as molybdenum oxide (MoOx) are attractive for application in silicon heterojunction solar cells for their potential to yield large short-circuit current density. However, full control of electrical propertie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9948c99b3416962c28054b108b27527
http://resolver.tudelft.nl/uuid:6501e113-6e58-4e62-908a-d4abdde56576
http://resolver.tudelft.nl/uuid:6501e113-6e58-4e62-908a-d4abdde56576
Publikováno v:
Progress in Photovoltaics: research and applications, 30(9)
Progress in Photovoltaics
Progress in Photovoltaics
Monitoring residential scale photovoltaic (PV) systems is important for maximizing the energy yield and detecting malfunctions. Analytical-based approaches are not reliable in these systems because of the lack of on-site measurements and detailed PV