Fast ground irradiance computations for agrivoltaics via physics-informed deep learning models.
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| Title: | Fast ground irradiance computations for agrivoltaics via physics-informed deep learning models. |
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| Authors: | Kurumundayil L; Fraunhofer Institute for Solar Energy Systems ISE, Freiburg, Germany. leslie.lydia.kurumundayil@ise.fraunhofer.de., Burkhardt D; Fraunhofer Institute for Solar Energy Systems ISE, Freiburg, Germany., Gfüllner L; Fraunhofer Institute for Solar Energy Systems ISE, Freiburg, Germany., Rupitsch SJ; IMTEK Department of Microsystems Engineering, University of Freiburg, Freiburg, Germany., Preu R; Fraunhofer Institute for Solar Energy Systems ISE, Freiburg, Germany., Berwind M; Fraunhofer Institute for Solar Energy Systems ISE, Freiburg, Germany., Demant M; Fraunhofer Institute for Solar Energy Systems ISE, Freiburg, Germany. |
| Source: | Communications engineering [Commun Eng] 2025 Oct 07; Vol. 4 (1), pp. 173. Date of Electronic Publication: 2025 Oct 07. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Nature Country of Publication: England NLM ID: 9918523382506676 Publication Model: Electronic Cited Medium: Internet ISSN: 2731-3395 (Electronic) Linking ISSN: 27313395 NLM ISO Abbreviation: Commun Eng Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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