{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/an-unsupervised-method-for-estimating-the","title":"An Unsupervised Method for Estimating the Global Horizontal Irradiance from Photovoltaic Power Measurements","arxiv_id":"1706.06878","date":"2017-06-21","proceeding":null,"authors":["Lorenzo Nespoli","Vasco Medici"],"abstract":"In this paper, we present a method to determine the global horizontal\nirradiance (GHI) from the power measurements of one or more PV systems, located\nin the same neighborhood. The method is completely unsupervised and is based on\na physical model of a PV plant. The precise assessment of solar irradiance is\npivotal for the forecast of the electric power generated by photovoltaic (PV)\nplants. However, on-ground measurements are expensive and are generally not\nperformed for small and medium-sized PV plants. Satellite-based services\nrepresent a valid alternative to on site measurements, but their space-time\nresolution is limited. Results from two case studies located in Switzerland are\npresented. The performance of the proposed method at assessing GHI is compared\nwith that of free and commercial satellite services. Our results show that the\npresented method is generally better than satellite-based services, especially\nat high temporal resolutions.","url_abs":"http://arxiv.org/abs/1706.06878v3","url_pdf":"http://arxiv.org/pdf/1706.06878v3.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"an-unsupervised-method-for-estimating-the","repo_url":"https://github.com/supsi-dacd-isaac/GHIEstimator","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":null,"task_name":"valid"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}