Enhancing heliostat calibration on low data by fusing robotic rigid body kinematics with neural networks

Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

Matthew Tancik, Pratul P. Srinivasan, Ben Mildenhall et al. · arXiv (Cornell University) · 2020 · 1.2K citations · Full text

Computing, Computer Science, Computer Vision +16

Efficient single and dual axis solar tracking system controllers based on adaptive neural fuzzy inference system

Nadia Al‐Rousan, Nor Ashidi Mat Isa, Mohd Khairunaz Mat Desa · Journal of King Saud University - Engineering Sciences · 2020 · 119 citations · Full text

Natural Sciences, Autonomous Systems, Machine Learning +16

Comparison of Two Sun Tracking Methods in the Application of a Heliostat Field

Y. T. Chen, Abraham Kribus, Boon-Han Lim et al. · Journal of Solar Energy Engineering · 2004 · 88 citations

Natural Sciences, Astronomy, Physics +10

Review of heliostat calibration and tracking control methods

Johannes Christoph Sattler, Marc Röger, Peter Schwarzbözl et al. · Solar Energy · 2020 · 81 citations · Full text

Natural Sciences, Astronomy, Observational Astronomy +14

Integration of an On-Axis General Sun-Tracking Formula in the Algorithm of an Open-Loop Sun-Tracking System

Kok‐Keong Chong, Chee‐Woon Wong, Fei Lu Siaw et al. · Sensors · 2009 · 71 citations · Full text

Natural Sciences, Astronomy, Optical Astronomy +12