48 citations as recorded by crossref.

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5. Short-term solar radiation forecasting with a novel image processing-based deep learning approach A. Eşlik et al. 10.1016/j.renene.2022.10.063
6. An energy flow simulation tool for incorporating short-term PV forecasting in a diesel-PV-battery off-grid power supply system T. Jamal et al. 10.1016/j.apenergy.2019.113718
7. Solar irradiance resource and forecasting: a comprehensive review D. Kumar et al. 10.1049/iet-rpg.2019.1227
8. Evaluation of Horizontal Single‐Axis Solar Tracker Algorithms in Terms of Energy Production and Operational Performance I. Muñoz et al. 10.1002/solr.202300507
9. Outlier Events of Solar Forecasts for Regional Power Grid in Japan Using JMA Mesoscale Model H. Ohtake et al. 10.3390/en11102714
10. Development of a Low-Cost Data Acquisition System for Very Short-Term Photovoltaic Power Forecasting G. Bassous et al. 10.3390/en14196075
11. The State-of-the-Art Progress in Cloud Detection, Identification, and Tracking Approaches: A Systematic Review M. Sawant et al. 10.3390/en14238119
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13. Solar irradiance components estimation based on a low-cost sky-imager C. Sánchez-Segura et al. 10.1016/j.solener.2021.02.037
14. Validation of an all‐sky imager–based nowcasting system for industrial PV plants P. Kuhn et al. 10.1002/pip.2968
15. Review on Spatio-Temporal Solar Forecasting Methods Driven by In Situ Measurements or Their Combination with Satellite and Numerical Weather Prediction (NWP) Estimates L. Benavides Cesar et al. 10.3390/en15124341
16. Shadow camera system for the generation of solar irradiance maps P. Kuhn et al. 10.1016/j.solener.2017.05.074
17. Sky Images for Short-Term Solar Irradiance Forecast: A Comparative Study of Linear Machine Learning Models E. Shirazi et al. 10.1109/JPHOTOV.2024.3398365
18. The HD(CP)<sup>2</sup> Observational Prototype Experiment (HOPE) – an overview A. Macke et al. 10.5194/acp-17-4887-2017
19. Real-Time Uncertainty Specification of All Sky Imager Derived Irradiance Nowcasts B. Nouri et al. 10.3390/rs11091059
20. Hourly solar irradiation forecast using hybrid local gravitational clustering and group method of data handling methods K. Benmouiza 10.1007/s11356-022-20114-3
21. Simulating clear-sky index increment correlations under mixed sky conditions using a fractal cloud model G. Lohmann et al. 10.1016/j.solener.2017.04.048
22. Effect of Asynchronous Data Processing on Solar Irradiance and Clearness Index Estimation by Sky Imagery N. Herrera et al. 10.3103/S0003701X20060043
23. Angular Calibration of Visible and Infrared Binocular All-Sky-View Cameras Using Sun Positions W. Xie et al. 10.3390/rs13132455
24. 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
25. A review of very short-term wind and solar power forecasting R. Tawn & J. Browell 10.1016/j.rser.2021.111758
26. Hourly and sub-hourly ahead global horizontal solar irradiation forecasting via a novel deep learning approach: A case study Z. Bounoua & A. Mechaqrane 10.1016/j.susmat.2023.e00599
27. Improving Solar Radiation Nowcasts by Blending Data-Driven, Satellite-Images-Based and All-Sky-Imagers-Based Models Using Machine Learning Techniques M. López-Cuesta et al. 10.3390/rs15092328
28. Comparison between Time- and Observation-Based Gaussian Process Regression Models for Global Horizontal Irradiance Forecasting S. Gbémou et al. 10.3390/solar2040027
29. 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
30. Clustered ANFIS network using fuzzy c-means, subtractive clustering, and grid partitioning for hourly solar radiation forecasting K. Benmouiza & A. Cheknane 10.1007/s00704-018-2576-4
31. Blending of a novel all sky imager model with persistence and a satellite based model for high-resolution irradiance nowcasting N. Straub et al. 10.1016/j.solener.2024.112319
32. Assessment of new solar radiation nowcasting methods based on sky-camera and satellite imagery F. Rodríguez-Benítez et al. 10.1016/j.apenergy.2021.116838
33. Cloud height and tracking accuracy of three all sky imager systems for individual clouds B. Nouri et al. 10.1016/j.solener.2018.10.079
34. Short-term solar forecasting based on sky images to enable higher PV generation in remote electricity networks T. Schmidt et al. 10.1051/rees/2017028
35. Validation of a camera-based intra-hour irradiance nowcasting model using synthetic cloud data P. Gregor et al. 10.5194/amt-16-3257-2023
36. Design and Test of a High-Performance Wireless Sensor Network for Irradiance Monitoring M. Espinosa-Gavira et al. 10.3390/s22082928
37. Analyzing Spatial Variations of Cloud Attenuation by a Network of All-Sky Imagers N. Blum et al. 10.3390/rs14225685
38. Cloud base height estimates from sky imagery and a network of pyranometers G. Wang et al. 10.1016/j.solener.2019.03.101
39. Net load forecasts for solar-integrated operational grid feeders Y. Chu et al. 10.1016/j.solener.2017.09.052
40. Forecasting and Estimation Technologies of PV System Power Output Y. UEDA & H. OOTAKE 10.1541/ieejjournal.137.220
41. Local short-term variability in solar irradiance G. Lohmann et al. 10.5194/acp-16-6365-2016
42. Benchmarking of solar irradiance nowcast performance derived from all-sky imagers S. Logothetis et al. 10.1016/j.renene.2022.08.127
43. Determination of cloud transmittance for all sky imager based solar nowcasting B. Nouri et al. 10.1016/j.solener.2019.02.004
44. A method for detailed, short-term energy yield forecasting of photovoltaic installations D. Anagnostos et al. 10.1016/j.renene.2018.06.058
45. Irradiance Variability Quantification and Small-Scale Averaging in Space and Time: A Short Review G. Lohmann 10.3390/atmos9070264
46. 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
47. Critical weather situations for renewable energies – Part B: Low stratus risk for solar power C. Köhler et al. 10.1016/j.renene.2016.09.002
48. Automatic Cloud‐Type Classification Based On the Combined Use of a Sky Camera and a Ceilometer J. Huertas‐Tato et al. 10.1002/2017JD027131