January 01, 2017 conference-paper Open access Heliostat attitude angle detection method based on BP neural network MATEC Web of Conferences DOI: 10.1051/matecconf/201713900043 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 3 stored of 13 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 Towards more reliable flux density prediction using uncertainty quantification of neural networks 2025 Solar Energy article Energy Solar Thermal and Photovoltaic Systems Open access 1 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 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 3 results References 0