August 28, 2026 article Open access Convolutional neural network surrogate model for real-time flux density prediction in cylindrical solar thermal receivers Solar Energy DOI: 10.1016/j.solener.2026.115057 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 0 References 5 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Automatic heliostat learning for in situ concentrating solar power plant metrology with differentiable ray tracing 2024 Nature Communications article Energy Solar Thermal and Photovoltaic Systems Open access 27 citations Flux density distribution forecasting in concentrated solar tower plants: A data-driven approach 2024 Solar Energy article Energy Solar Thermal and Photovoltaic Systems Open access 12 citations In-situ UNet-based heliostat beam characterization method for precise flux calculation using the camera-target method 2024 Solar Energy article Energy Solar Thermal and Photovoltaic Systems Open access 9 citations End-to-end sensitivity analysis of a hybrid heliostat calibration process involving artificial neural networks 2025 Solar Energy article Energy Solar Thermal and Photovoltaic Systems Open access 9 citations Accurate and scalable receiver-level flux prediction: A fully data-driven solution 2025 Solar Energy article Energy Solar Thermal and Photovoltaic Systems Open access 1 citations 5 results