A Real-Time Capable Simulation of Open Volumetric Receiver Surface Temperatures With Spatially High Resolution von Iding, Kevin, Zanger, David, Maldonado Quinto, Daniel, Pitz-Paal, Robert

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Enhancing heliostat calibration on low data by fusing robotic rigid body kinematics with neural networks von Pargmann, Max, Leibauer, Moritz, Nettelroth, Vincent, Maldonado Quinto, Daniel, Pitz-Paal, Robert

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In-situ UNet-based heliostat beam characterization method for precise flux calculation using the camera-target method von Kuhl, Mathias, Pargmann, Max, Cherti, Mehdi, Jitsev, Jenia, Maldonado Quinto, Daniel, Pitz-Paal, Robert

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Flux density distribution forecasting in concentrated solar tower plants: A data-driven approach von Kuhl, Mathias, Pargmann, Max, Cherti, Mehdi, Jitsev, Jenia, Maldonado Quinto, Daniel, Pitz-Paal, Robert

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Towards an optimal aiming for molten salt power towers von Flesch, Robert, Frantz, Cathy, Maldonado Quinto, Daniel, Schwarzbözl, Peter

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High accuracy data-driven heliostat calibration and state prediction with pretrained deep neural networks von Pargmann, Max, Maldonado Quinto, Daniel, Schwarzbözl, Peter, Pitz-Paal, Robert

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Model Predictive Control and Service Life Monitoring for Molten Salt Solar Power Towers von Grote-Ramm, Wolfgang, Schönig, Felix, Schwarzbözl, Peter, Drexelius, Maximilian, Maldonado Quinto, Daniel, Binder, Matthias

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How can deep learning be used to improve the heliostat field calibration, even with small data sets? - A transfer learning comparison study von Pargmann, Max, Quinto, Daniel Maldonado

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Questioning the reliability of open-loop calibration methods: Introducing a robust data sampling for year-round high accuracy von Pargmann, Max, Leibauer, Moritz, Nettelroth, Vincent, Maldonado Quinto, Daniel, Pitz-Paal, Robert

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Towards a neural network based flux density prediction – Using generative models to enhance CSP raytracing von Pargmann, Max, Quinto, Daniel Maldonado, Kesselheim, Stefan, Ebert, Jan, Pitz-Paal, Robert

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Operation optimization of an array of receiver-reactors for solar fuel production von Grobbel, Johannes, Sollich, Martin Fabian, Quinto, Daniel Maldonado, Lidor, Alon, Sattler, Christian

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5G as Communication Platform for Solar Tower Plants: 5G for CSP von Schwarzbözl, Peter, Miadowicz, Inga, Maldonado Quinto, Daniel, Golembiewski, Julian, Jörke, Pascal, Faulwasser, Timm, Wietfeld, Christian

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Inverse Deep Learning Ray Tracing for Heliostat Surface Prediction von Lewen, Jan, Pargmann, Max, Cherti, Mehdi, Jitsev, Jenia, Pitz-Paal, Robert, Daniel Maldonado Quinto

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COMPUTER-ASSISTED METHOD AND DEVICE FOR DETERMINING OBJECT PROPERTIES OF AT LEAST ONE OBJECT IN A RECORDING SCENE von PARGMANN, Max, KESSELHEIM, Stefan, EBERT, Jan, MALDONADO QUINTO, Daniel

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Computergestütztes Verfahren und Vorrichtung zum Vermessen einer Oberfläche eines Objekts von Pargmann, Max, Quinto, Daniel Maldonado, Kesselheim, Stefan, Ebert, Jan

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receptor para instalações de produção de energia solar von ARNE TIDDENS, BERNHARD HOFFSCHMIDT, DANIEL MALDONADO QUINTO

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Receiver für Solarenergiegewinnungsanlagen von Maldonado Quinto, Daniel, Hoffschmidt, Bernhard, Tiddens, Arne

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RECEIVER FOR SOLAR ENERGY PRODUCTION INSTALLATIONS von HOFFSCHMIDT, Bernhard, MALDONADO QUINTO, Daniel, TIDDENS, Arne

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Receiver für Solarenergiegewinnungsanlagen, sowie Solargewinnungsanlage von Quinto, Daniel Maldonado, Jensch, Andrea, Stadler, Hannes, Gobereit, Birgit, Hertel, Johannes, Schwarzbözl, Peter, Uhlig, Ralf

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Receiver für Solarenergiegewinnungsanlagen von AHLBRINK, NILS, MALDONADO QUINTO, DANIEL, BEUTER, MATTHIAS

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