109 citations as recorded by crossref.

1. Cloud Discrimination from Sky Images Using a Clear-Sky Index M. Saito & H. Iwabuchi 10.1175/JTECH-D-15-0204.1
2. Automated construction of clear-sky dictionary from all-sky imager data P. Shaffery et al. 10.1016/j.solener.2020.10.052
3. Cloud cover detection combining high dynamic range sky images and ceilometer measurements R. Román et al. 10.1016/j.atmosres.2017.06.006
4. Irradiance prediction intervals for PV stochastic generation in microgrid applications E. Scolari et al. 10.1016/j.solener.2016.09.030
5. Assessing the cloud radiative bias at Macquarie Island in the ACCESS-AM2 model Z. Pei et al. 10.5194/acp-23-14691-2023
6. Precision Calibration of Omnidirectional Camera Using a Statistical Approach V. Lazarenko et al. 10.3390/computation10120209
7. Open-source sky image datasets for solar forecasting with deep learning: A comprehensive survey Y. Nie et al. 10.1016/j.rser.2023.113977
8. Twenty-four-hour cloud cover calculation using a ground-based imager with machine learning B. Kim et al. 10.5194/amt-14-6695-2021
9. Research Status and Difficulties of Ultra-short-term Prediction of Photovoltaic Power H. Kong et al. 10.1088/1755-1315/252/3/032094
10. Analyzing of Cloud Macroscopic Characteristics in the Shigatse Area of the Tibetan Plateau Using the Total-Sky Images J. Yang et al. 10.1175/JAMC-D-18-0095.1
11. Coupling sky images with radiative transfer models: a new method to estimate cloud optical depth F. Mejia et al. 10.5194/amt-9-4151-2016
12. Towards the short-term forecasting of direct normal irradiance using a sky imager J. Nou et al. 10.1016/j.ifacol.2017.08.1856
13. Remote sensing of lunar aureole with a sky camera: Adding information in the nocturnal retrieval of aerosol properties with GRASP code R. Román et al. 10.1016/j.rse.2017.05.013
14. Prediction of Solar Irradiance and Photovoltaic Solar Energy Product Based on Cloud Coverage Estimation Using Machine Learning Methods S. Park et al. 10.3390/atmos12030395
15. Halo ratio from ground-based all-sky imaging P. Dandini et al. 10.5194/amt-12-1295-2019
16. A posteriori clear-sky identification methods in solar irradiance time series: Review and preliminary validation using sky imagers C. Gueymard et al. 10.1016/j.rser.2019.04.027
17. Diurnal and nocturnal cloud segmentation of all-sky imager (ASI) images using enhancement fully convolutional networks C. Shi et al. 10.5194/amt-12-4713-2019
18. Cloud base height estimates from sky imagery and a network of pyranometers G. Wang et al. 10.1016/j.solener.2019.03.101
19. Automatic Detection of Clear-Sky Periods From Irradiance Data B. Ellis et al. 10.1109/JPHOTOV.2019.2914444
20. Cloud base height from sky imager and cloud speed sensor G. Wang et al. 10.1016/j.solener.2016.02.027
21. Short-term forecast of solar irradiance components using an alternative mathematical approach for the identification of cloud features M. Peña-Cruz et al. 10.1016/j.renene.2024.121691
22. A Dirichlet-multinomial mixture model-based approach for daily solar radiation classification Â. Frimane et al. 10.1016/j.solener.2018.06.059
23. An improved cross-correlation method for efficient clouds forecasting H. Zuo et al. 10.1007/s00704-024-04985-9
24. A total sky cloud detection method using real clear sky background J. Yang et al. 10.5194/amt-9-587-2016
25. Benchmarking of six cloud segmentation algorithms for ground-based all-sky imagers M. Hasenbalg et al. 10.1016/j.solener.2020.02.042
26. Daytime Cloud Detection Method Using the All-Sky Imager over PERMATApintar Observatory M. Azhar et al. 10.3390/universe7020041
27. Accurate nowcasting of cloud cover at solar photovoltaic plants using geostationary satellite images P. Xia et al. 10.1038/s41467-023-44666-1
28. Short-term solar irradiance forecasting under data transmission constraints J. Hammond et al. 10.1016/j.renene.2024.121058
29. Predicting solar irradiance with all-sky image features via regression C. Fu & H. Cheng 10.1016/j.solener.2013.09.016
30. Evaluation of Deep Learning-Based Neural Network Methods for Cloud Detection and Segmentation S. Hensel et al. 10.3390/en14196156
31. Diurnal (24 h) cycle and seasonal variability of cloud fraction retrieved from a Whole Sky Imager over a complex terrain in the Western Ghats and comparison with MODIS S. Sunil et al. 10.1016/j.atmosres.2020.105180
32. Cloud classification of ground-based infrared images combining manifold and texture features Q. Luo et al. 10.5194/amt-11-5351-2018
33. Cloud fraction retrieval and its variability during daytime from ground-based sky imagery over a tropical station in India A. Nikumbh et al. 10.1016/j.jastp.2019.05.002
34. Analysis algorithm for sky type and ice halo recognition in all-sky images S. Boyd et al. 10.5194/amt-12-4241-2019
35. Towards the intrahour forecasting of direct normal irradiance using sky-imaging data J. Nou et al. 10.1016/j.heliyon.2018.e00598
36. A minutely solar irradiance forecasting method based on real-time sky image-irradiance mapping model F. Wang et al. 10.1016/j.enconman.2020.113075
37. ORION software tool for the geometrical calibration of all-sky cameras J. Antuña-Sánchez et al. 10.1371/journal.pone.0265959
38. A novel clear-sky index for color sky imagery used in short-term irradiance forecasting J. Manning & R. Baldick 10.1063/1.5131521
39. CloudFU-Net: A Fine-Grained Segmentation Method for Ground-Based Cloud Images Based on an Improved Encoder–Decoder Structure C. Shi et al. 10.1109/TGRS.2024.3389089
40. Shadow camera system for the generation of solar irradiance maps P. Kuhn et al. 10.1016/j.solener.2017.05.074
41. Detecting clear sky images P. Pawar et al. 10.1016/j.solener.2019.02.069
42. Hybrid Cloud Detection Algorithm Based on Intelligent Scene Recognition F. Li et al. 10.1175/JTECH-D-21-0159.1
43. Inter-hour direct normal irradiance forecast with multiple data types and time-series T. ZHU et al. 10.1007/s40565-019-0551-4
44. ELIFAN, an algorithm for the estimation of cloud cover from sky imagers M. Lothon et al. 10.5194/amt-12-5519-2019
45. Assessment of Nighttime Cloud Cover Products from MODIS and Himawari-8 Data with Ground-Based Camera Observations N. Lagrosas et al. 10.3390/rs14040960
46. Validation of the LaSRC Cloud Detection Algorithm for Landsat 8 Images S. Skakun et al. 10.1109/JSTARS.2019.2894553
47. Deep Learning Neural Networks for Short-Term PV Power Forecasting via Sky Image Method W. Kuo et al. 10.3390/en15134779
48. A Review and Evaluation of the State of Art in Image-Based Solar Energy Forecasting: The Methodology and Technology Used C. Travieso-González et al. 10.3390/app14135605
49. Supervised Fine-Grained Cloud Detection and Recognition in Whole-Sky Images L. Ye et al. 10.1109/TGRS.2019.2917612
50. Cloud detection method using ground-based sky images based on clear sky library and superpixel local threshold Y. Niu et al. 10.1016/j.renene.2024.120452
51. High PV penetration impacts on five local distribution networks using high resolution solar resource assessment with sky imager and quasi-steady state distribution system simulations A. Nguyen et al. 10.1016/j.solener.2016.03.019
52. Ground-based image analysis: A tutorial on machine-learning techniques and applications S. Dev et al. 10.1109/MGRS.2015.2510448
53. Forecasting photovoltaics/concentrated photovoltaics at national level – Portugal experience J. Esteves et al. 10.1049/iet-rpg.2018.5073
54. Cloud segmentation property extraction from total sky image repositories using Python D. Igoe et al. 10.1080/10739149.2019.1603996
55. Sky image-based solar irradiance prediction methodologies using artificial neural networks J. Kamadinata et al. 10.1016/j.renene.2018.11.056
56. History and trends in solar irradiance and PV power forecasting: A preliminary assessment and review using text mining D. Yang et al. 10.1016/j.solener.2017.11.023
57. Evaluating the spatio-temporal performance of sky-imager-based solar irradiance analysis and forecasts T. Schmidt et al. 10.5194/acp-16-3399-2016
58. OpenSolar: Promoting the openness and accessibility of diverse public solar datasets C. Feng et al. 10.1016/j.solener.2019.07.016
59. Benchmarking of solar irradiance nowcast performance derived from all-sky imagers S. Logothetis et al. 10.1016/j.renene.2022.08.127
60. Hourly Solar Irradiance Forecasting Using Long Short Term Memory and Convolutional Neural Networks T. Bouadjila et al. 10.1007/s40866-024-00224-2
61. Solar irradiance forecasting using a ground-based sky imager developed at UC San Diego H. Yang et al. 10.1016/j.solener.2014.02.044
62. Recent advances in intra-hour solar forecasting: A review of ground-based sky image methods F. Lin et al. 10.1016/j.ijforecast.2021.11.002
63. Stereographic methods for cloud base height determination using two sky imagers D. Nguyen & J. Kleissl 10.1016/j.solener.2014.05.005
64. Comparative signal to noise ratio as a determinant to select smartphone image sensor colour channels for analysis in the UVB D. Igoe et al. 10.1016/j.sna.2018.01.057
65. Sky camera geometric calibration using solar observations B. Urquhart et al. 10.5194/amt-9-4279-2016
66. Multi-exposure adaptive threshold technique for cloud detection with sky imagers A. Cazorla et al. 10.1016/j.solener.2015.02.006
67. Development of a Machine Learning Forecast Model for Global Horizontal Irradiation Adapted to Tibet Based on Visible All-Sky Imaging L. Wu et al. 10.3390/rs15092340
68. Measurements of Cloud Radiative Effect across the Southern Ocean (43° S–79° S, 63° E–158° W) H. Wang et al. 10.3390/atmos11090949
69. Identification of periods of clear sky irradiance in time series of GHI measurements M. Reno & C. Hansen 10.1016/j.renene.2015.12.031
70. A Cloud Detection Algorithm with Reduction of Sunlight Interference in Ground-Based Sky Images X. Li et al. 10.3390/atmos10110640
71. Solar Irradiance Fluctuation Prediction Methodology Using Artificial Neural Networks J. Kamadinata et al. 10.1115/1.4045315
72. An experimental sky-image-derived cloud validation dataset for Sentinel-2 and Landsat 8 satellites over NASA GSFC S. Skakun et al. 10.1016/j.jag.2020.102253
73. Aerosol Optical Properties and Type Retrieval via Machine Learning and an All-Sky Imager S. Logothetis et al. 10.3390/atmos14081266
74. Very short-term solar irradiance forecast using all-sky imaging and real-time irradiance measurements M. Caldas & R. Alonso-Suárez 10.1016/j.renene.2019.05.069
75. The state of the atmosphere in the 2016 southern Kerguelen Axis campaign region A. Klekociuk et al. 10.1016/j.dsr2.2019.02.001
76. Observations of Nighttime Clouds Over Chiba, Japan, Using Digital Cameras and Satellite Images N. Lagrosas et al. 10.1029/2021JD034772
77. Feasibility of Ground-Based Sky-Camera HDR Imagery to Determine Solar Irradiance and Sky Radiance over Different Geometries and Sky Conditions P. Valdelomar et al. 10.3390/rs13245157
78. Deep Convolutional Neural Network for Cloud Coverage Estimation from Snapshot Camera Images R. Onishi & D. Sugiyama 10.2151/sola.2017-043
79. Forecasting solar photosynthetic photon flux density under cloud cover effects: novel predictive model using convolutional neural network integrated with long short-term memory network R. Deo et al. 10.1007/s00477-022-02188-0
80. Applying self-supervised learning for semantic cloud segmentation of all-sky images Y. Fabel et al. 10.5194/amt-15-797-2022
81. Streamline-based method for intra-day solar forecasting through remote sensing L. Nonnenmacher & C. Coimbra 10.1016/j.solener.2014.07.026
82. 3D cloud detection and tracking system for solar forecast using multiple sky imagers Z. Peng et al. 10.1016/j.solener.2015.05.037
83. Estimating multidirectional cloud movements from single sky camera using directional statistics H. Wakisaka et al. 10.1016/j.solener.2024.112802
84. Day and Night Clouds Detection Using a Thermal-Infrared All-Sky-View Camera Y. Wang et al. 10.3390/rs13091852
85. Ten-minute prediction of solar irradiance based on cloud detection and a long short-term memory (LSTM) model H. Zuo et al. 10.1016/j.egyr.2022.03.182
86. Exploring the Twilight Zone: A Multi-Sensor Approach J. da Silva et al. 10.1051/epjconf/202023707015
87. Research on simulation and validation methods of aerosol radiative forcing on the Tibetan Plateau based on satellite and ground-based remote sensing observations over the past 20 years L. Wu et al. 10.1016/j.atmosres.2024.107683
88. Anomaly detection in all-sky images: An approach using robust ensemble modeling of cloud cover fraction and prediction bounds V. Rocha et al. 10.1016/j.engappai.2025.110003
89. Intra-Minute Cloud Passing Forecasting Based on a Low Cost IoT Sensor—A Solution for Smoothing the Output Power of PV Power Plants P. Sukič & G. Štumberger 10.3390/s17051116
90. Optimal interpolation of satellite and ground data for irradiance nowcasting at city scales A. Lorenzo et al. 10.1016/j.solener.2017.01.038
91. An RGB channel operation for removal of the difference of atmospheric scattering and its application on total sky cloud detection J. Yang et al. 10.5194/amt-10-1191-2017
92. An automated cloud detection method based on the green channel of total-sky visible images J. Yang et al. 10.5194/amt-8-4671-2015
93. Quantifying the impact of cloud cover on ground radiation flux measurements using hemispherical images L. Roupioz et al. 10.1080/01431161.2015.1084440
94. Deep multimodal fusion for ground-based cloud classification in weather station networks S. Liu & M. Li 10.1186/s13638-018-1062-0
95. Cloud Detection Methodology Based on a Sky-imaging System R. Chauvin et al. 10.1016/j.egypro.2015.03.198
96. Solar forecasting methods for renewable energy integration R. Inman et al. 10.1016/j.pecs.2013.06.002
97. Method for validating cloud mask obtained from satellite measurements using ground-based sky camera H. Letu et al. 10.1364/AO.53.007523
98. Cloud cover retrieved from skyviewer: A validation with human observations B. Kim et al. 10.1007/s13143-015-0083-4
99. Adaptive image features for intra-hour solar forecasts H. Pedro et al. 10.1063/1.5091952
100. A New Contrast-Enhancing Feature for Cloud Detection in Ground-Based Sky Images V. Jayadevan et al. 10.1175/JTECH-D-14-00053.1
101. A Smart Image-Based Cloud Detection System for Intrahour Solar Irradiance Forecasts Y. Chu et al. 10.1175/JTECH-D-13-00209.1
102. All-sky polarization imaging of cloud thermodynamic phase L. Eshelman et al. 10.1364/OE.27.003528
103. A New Method of Cloud Detection Based on Cascaded AdaBoost C. Ma et al. 10.1088/1755-1315/18/1/012026
104. A Payoff-Based Learning Approach to Cooperative Environmental Monitoring for PTZ Visual Sensor Networks T. Hatanaka et al. 10.1109/TAC.2015.2450611
105. Cloud Detection Methodology Based on a Sky-imaging System R. Chauvin et al. 10.1016/j.egypro.2015.03.198
106. Real-time prediction intervals for intra-hour DNI forecasts Y. Chu et al. 10.1016/j.renene.2015.04.022
107. Estimation of Total Cloud Amount from Skyviewer Image Data B. Kim et al. 10.5467/JKESS.2015.36.4.330
108. An improved cloud recognition and classification method for photovoltaic power prediction based on total‐sky‐images J. Tang et al. 10.1049/joe.2018.9249
109. Real-time forecasting of solar irradiance ramps with smart image processing Y. Chu et al. 10.1016/j.solener.2015.01.024