Gast ::
| Hauptseite > Publikationsdatenbank > Assessing the Impact of Ground-Based Cloud Observations on Photovoltaic Generation Forecast > print |
| Hauptseite > Publikationsdatenbank > Assessing the Impact of Ground-Based Cloud Observations on Photovoltaic Generation Forecast > print |
| 001 | 1048849 | ||
| 005 | 20251204202146.0 | ||
| 024 | 7 | _ | |a 10.1109/IECON58223.2025.11221083 |2 doi |
| 037 | _ | _ | |a FZJ-2025-04954 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |a Albanese, Mario |0 P:(DE-Juel1)199770 |b 0 |e Corresponding author |u fzj |
| 111 | 2 | _ | |a IECON 2025 – 51st Annual Conference of the IEEE Industrial Electronics Society |g IECON 2025 |c Madrid |d 2025-10-14 - 2025-10-17 |w Spain |
| 245 | _ | _ | |a Assessing the Impact of Ground-Based Cloud Observations on Photovoltaic Generation Forecast |
| 260 | _ | _ | |c 2025 |b IEEE |
| 300 | _ | _ | |a 1-6 |
| 336 | 7 | _ | |a CONFERENCE_PAPER |2 ORCID |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
| 336 | 7 | _ | |a conferenceObject |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Conference Paper |2 DataCite |
| 336 | 7 | _ | |a Contribution to a conference proceedings |b contrib |m contrib |0 PUB:(DE-HGF)8 |s 1764851230_8851 |2 PUB:(DE-HGF) |
| 520 | _ | _ | |a The widespread integration of photovoltaic (PV) systems into modern power grids poses several operational challenges, primarily due to the stochastic nature of weather conditions, which leads to uncertainty in power generation. In this context, accurate forecasting of PV output becomes critical, especially for electricity markets and grid management. This paper investigates the relationship between non-conventional weather variables (i.e., ground-based cloud observations) and PV power generation, and evaluates the impact of incorporating such data into a machine learning model to improve forecasting performance. The analysis is conducted using real power output and ground-based meteorological data collected at Forschungszentrum Jülich, in Germany. |
| 536 | _ | _ | |a 1122 - Design, Operation and Digitalization of the Future Energy Grids (POF4-112) |0 G:(DE-HGF)POF4-1122 |c POF4-112 |f POF IV |x 0 |
| 536 | _ | _ | |a 1123 - Smart Areas and Research Platforms (POF4-112) |0 G:(DE-HGF)POF4-1123 |c POF4-112 |f POF IV |x 1 |
| 588 | _ | _ | |a Dataset connected to CrossRef Conference |
| 700 | 1 | _ | |a Carta, Daniele |0 P:(DE-Juel1)186779 |b 1 |u fzj |
| 700 | 1 | _ | |a Löhnert, Ulrich |0 P:(DE-Juel1)129225 |b 2 |u fzj |
| 700 | 1 | _ | |a Benigni, Andrea |0 P:(DE-Juel1)179029 |b 3 |u fzj |
| 773 | _ | _ | |a 10.1109/IECON58223.2025.11221083 |
| 856 | 4 | _ | |u https://ieeexplore.ieee.org/document/11221083 |
| 909 | C | O | |o oai:juser.fz-juelich.de:1048849 |p VDB |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)199770 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 1 |6 P:(DE-Juel1)186779 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 2 |6 P:(DE-Juel1)129225 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 3 |6 P:(DE-Juel1)179029 |
| 913 | 1 | _ | |a DE-HGF |b Forschungsbereich Energie |l Energiesystemdesign (ESD) |1 G:(DE-HGF)POF4-110 |0 G:(DE-HGF)POF4-112 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-100 |4 G:(DE-HGF)POF |v Digitalisierung und Systemtechnik |9 G:(DE-HGF)POF4-1122 |x 0 |
| 913 | 1 | _ | |a DE-HGF |b Forschungsbereich Energie |l Energiesystemdesign (ESD) |1 G:(DE-HGF)POF4-110 |0 G:(DE-HGF)POF4-112 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-100 |4 G:(DE-HGF)POF |v Digitalisierung und Systemtechnik |9 G:(DE-HGF)POF4-1123 |x 1 |
| 914 | 1 | _ | |y 2025 |
| 920 | _ | _ | |l no |
| 920 | 1 | _ | |0 I:(DE-Juel1)ICE-1-20170217 |k ICE-1 |l Modellierung von Energiesystemen |x 0 |
| 980 | _ | _ | |a contrib |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-Juel1)ICE-1-20170217 |
| 980 | _ | _ | |a UNRESTRICTED |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|