Articles | Volume 7, issue 6
https://doi.org/10.5194/amt-7-1693-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-7-1693-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
12 Jun 2014
Research article |
| 12 Jun 2014
Cloud shadow speed sensor
V. Fung
Department of Mechanical and Aerospace Engineering, University of California, San Diego, California, USA
J. L. Bosch
Department of Mechanical and Aerospace Engineering, University of California, San Diego, California, USA
S. W. Roberts
Department of Mechanical and Aerospace Engineering, University of California, San Diego, California, USA
J. Kleissl
Department of Mechanical and Aerospace Engineering, University of California, San Diego, California, USA
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22 citations as recorded by crossref.
- Shadow camera system for the generation of solar irradiance maps P. Kuhn et al. https://doi.org/10.1016/j.solener.2017.05.074
- Portfolio analysis of solar photovoltaics: Quantifying the contributions of locational marginal pricing and power on revenue variability K. Kumpf et al. https://doi.org/10.1016/j.solener.2015.06.008
- Analysis of shading periods caused by moving clouds K. Lappalainen & S. Valkealahti https://doi.org/10.1016/j.solener.2016.05.050
- Irradiance forecasts based on an irradiance monitoring network, cloud motion, and spatial averaging A. Lorenzo et al. https://doi.org/10.1016/j.solener.2015.10.038
- Cloud base height from sky imager and cloud speed sensor G. Wang et al. https://doi.org/10.1016/j.solener.2016.02.027
- Cloud base height estimates from sky imagery and a network of pyranometers G. Wang et al. https://doi.org/10.1016/j.solener.2019.03.101
- Smart motion detection sensor based on video processing using self-organizing maps F. Ortega-Zamorano et al. https://doi.org/10.1016/j.eswa.2016.08.010
- Forecasting-Based Power Ramp-Rate Control Strategies for Utility-Scale PV Systems X. Chen et al. https://doi.org/10.1109/TIE.2018.2840490
- Deep learning-based video surveillance system managed by low cost hardware and panoramic cameras J. Benito-Picazo et al. https://doi.org/10.3233/ICA-200632
- Short-term peer-to-peer solar forecasting in a network of photovoltaic systems B. Elsinga & W. van Sark https://doi.org/10.1016/j.apenergy.2017.09.115
- Embedded nowcasting method using cloud speed persistence for a photovoltaic power plant M. Lipperheide et al. https://doi.org/10.1016/j.solener.2014.11.013
- Modeling solar irradiance smoothing for large PV power plants using a 45-sensor network and the Wavelet Variability Model A. Dyreson et al. https://doi.org/10.1016/j.solener.2014.09.027
- Validation of Cloud-Gap-Filled Snow Cover of MODIS Daily Cloud-Free Snow Cover Products on the Qinghai–Tibetan Plateau Y. Yuan et al. https://doi.org/10.3390/rs14225642
- Voltage-Based Protection Scheme for Faults Within Utility-Scale Photovoltaic Arrays K. Saleh et al. https://doi.org/10.1109/TSG.2017.2655444
- Maximum expected ramp rates using cloud speed sensor measurements G. Wang et al. https://doi.org/10.1063/5.0021875
- Impact of temporal and spatial variability of solar resource on technical sizing of isolated solar installations in Senegal using satellite data A. Sarr et al. https://doi.org/10.1016/j.egyr.2021.07.064
- Benchmarking of solar irradiance nowcast performance derived from all-sky imagers S. Logothetis et al. https://doi.org/10.1016/j.renene.2022.08.127
- Apparent velocity of shadow edges caused by moving clouds K. Lappalainen & S. Valkealahti https://doi.org/10.1016/j.solener.2016.09.008
- Cloud motion estimation from small-scale irradiance sensor networks: General analysis and proposal of a new method M. Espinosa-Gavira et al. https://doi.org/10.1016/j.solener.2020.03.081
- Motion detection with low cost hardware for PTZ cameras J. Benito-Picazo et al. https://doi.org/10.3233/ICA-180579
- MRR-YOLO: an instance segmentation technique for ground-based cloud images Z. Wan et al. https://doi.org/10.1038/s41598-026-46567-x
- Sensor network based PV power nowcasting with spatio-temporal preselection for grid-friendly control X. Chen et al. https://doi.org/10.1016/j.apenergy.2019.113760
22 citations as recorded by crossref.
- Shadow camera system for the generation of solar irradiance maps P. Kuhn et al. https://doi.org/10.1016/j.solener.2017.05.074
- Portfolio analysis of solar photovoltaics: Quantifying the contributions of locational marginal pricing and power on revenue variability K. Kumpf et al. https://doi.org/10.1016/j.solener.2015.06.008
- Analysis of shading periods caused by moving clouds K. Lappalainen & S. Valkealahti https://doi.org/10.1016/j.solener.2016.05.050
- Irradiance forecasts based on an irradiance monitoring network, cloud motion, and spatial averaging A. Lorenzo et al. https://doi.org/10.1016/j.solener.2015.10.038
- Cloud base height from sky imager and cloud speed sensor G. Wang et al. https://doi.org/10.1016/j.solener.2016.02.027
- Cloud base height estimates from sky imagery and a network of pyranometers G. Wang et al. https://doi.org/10.1016/j.solener.2019.03.101
- Smart motion detection sensor based on video processing using self-organizing maps F. Ortega-Zamorano et al. https://doi.org/10.1016/j.eswa.2016.08.010
- Forecasting-Based Power Ramp-Rate Control Strategies for Utility-Scale PV Systems X. Chen et al. https://doi.org/10.1109/TIE.2018.2840490
- Deep learning-based video surveillance system managed by low cost hardware and panoramic cameras J. Benito-Picazo et al. https://doi.org/10.3233/ICA-200632
- Short-term peer-to-peer solar forecasting in a network of photovoltaic systems B. Elsinga & W. van Sark https://doi.org/10.1016/j.apenergy.2017.09.115
- Embedded nowcasting method using cloud speed persistence for a photovoltaic power plant M. Lipperheide et al. https://doi.org/10.1016/j.solener.2014.11.013
- Modeling solar irradiance smoothing for large PV power plants using a 45-sensor network and the Wavelet Variability Model A. Dyreson et al. https://doi.org/10.1016/j.solener.2014.09.027
- Validation of Cloud-Gap-Filled Snow Cover of MODIS Daily Cloud-Free Snow Cover Products on the Qinghai–Tibetan Plateau Y. Yuan et al. https://doi.org/10.3390/rs14225642
- Voltage-Based Protection Scheme for Faults Within Utility-Scale Photovoltaic Arrays K. Saleh et al. https://doi.org/10.1109/TSG.2017.2655444
- Maximum expected ramp rates using cloud speed sensor measurements G. Wang et al. https://doi.org/10.1063/5.0021875
- Impact of temporal and spatial variability of solar resource on technical sizing of isolated solar installations in Senegal using satellite data A. Sarr et al. https://doi.org/10.1016/j.egyr.2021.07.064
- Benchmarking of solar irradiance nowcast performance derived from all-sky imagers S. Logothetis et al. https://doi.org/10.1016/j.renene.2022.08.127
- Apparent velocity of shadow edges caused by moving clouds K. Lappalainen & S. Valkealahti https://doi.org/10.1016/j.solener.2016.09.008
- Cloud motion estimation from small-scale irradiance sensor networks: General analysis and proposal of a new method M. Espinosa-Gavira et al. https://doi.org/10.1016/j.solener.2020.03.081
- Motion detection with low cost hardware for PTZ cameras J. Benito-Picazo et al. https://doi.org/10.3233/ICA-180579
- MRR-YOLO: an instance segmentation technique for ground-based cloud images Z. Wan et al. https://doi.org/10.1038/s41598-026-46567-x
- Sensor network based PV power nowcasting with spatio-temporal preselection for grid-friendly control X. Chen et al. https://doi.org/10.1016/j.apenergy.2019.113760
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