{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T08:54:03Z","timestamp":1780476843839,"version":"3.54.1"},"reference-count":23,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2022,6,17]],"date-time":"2022-06-17T00:00:00Z","timestamp":1655424000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Instituci\u00f3n Universitaria Pascual Bravo, Instituto Tecnol\u00f3gico Metropolitano and Universidad Nacional de Colombia","award":["IN202102"],"award-info":[{"award-number":["IN202102"]}]},{"name":"Instituci\u00f3n Universitaria Pascual Bravo, Instituto Tecnol\u00f3gico Metropolitano and Universidad Nacional de Colombia","award":["PE21105"],"award-info":[{"award-number":["PE21105"]}]},{"name":"Instituci\u00f3n Universitaria Pascual Bravo, Instituto Tecnol\u00f3gico Metropolitano and Universidad Nacional de Colombia","award":["Hermes 51503"],"award-info":[{"award-number":["Hermes 51503"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Data"],"abstract":"<jats:p>The dynamic reconfiguration and maximum power point tracking in large-scale photovoltaic (PV) systems require a large number of voltage and current sensors. In particular, the reconfiguration process requires a pair of voltage\/current sensors for each panel, which introduces costs, increases size and reduces the reliability of the installation. A suitable solution for reducing the number of sensors is to adopt image-based solutions to estimate the electrical characteristics of the PV panels, but the lack of reliable data with large diversity of irradiance and shading conditions is a major problem in this topic. Therefore, this paper presents a dataset correlating RGB images and electrical data of PV panels with different irradiance and shading conditions; moreover, the dataset also provides complementary weather data and additional image characteristics to support the training of estimation models. In particular, the dataset was designed to support the design of image-based estimators of electrical data, which could be used to replace large arrays of sensors. The dataset was captured during 70 days distributed between 2020 and 2021, generating 5211 images and registers. The paper also describes the measurement platform used to collect the data, which will help to replicate the experiments in different geographical locations.<\/jats:p>","DOI":"10.3390\/data7060082","type":"journal-article","created":{"date-parts":[[2022,6,17]],"date-time":"2022-06-17T11:45:44Z","timestamp":1655466344000},"page":"82","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Dataset for Detecting the Electrical Behavior of Photovoltaic Panels from RGB Images"],"prefix":"10.3390","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2598-4486","authenticated-orcid":false,"given":"Juan-Pablo","family":"Villegas-Ceballos","sequence":"first","affiliation":[{"name":"Departamento de Electr\u00f3nica y Telecomunicaciones, Instituto Tecnol\u00f3gico Metropolitano, Medell\u00edn 050015, Colombia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2318-6552","authenticated-orcid":false,"given":"Mateo","family":"Rico-Garcia","sequence":"additional","affiliation":[{"name":"Facultad de Ingenier\u00eda, Instituci\u00f3n Universitaria Pascual Bravo, Calle 73 No. 73A 226, Medell\u00edn 050034, Colombia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2231-4177","authenticated-orcid":false,"given":"Carlos Andres","family":"Ramos-Paja","sequence":"additional","affiliation":[{"name":"Facultad de Minas, Universidad Nacional de Colombia, Carrera 80 No. 65-223, Medell\u00edn 050041, Colombia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2022,6,17]]},"reference":[{"key":"ref_1","unstructured":"Murdock, H.E., Gibb, D., Andre, T., Sawin, J.L., Brown, A., Ranalder, L., Collier, U., Dent, C., Epp, B., and Hareesh Kumar, C. (2022, April 08). Renewables 2021-Global Status Report. Available online: https:\/\/www.ren21.net\/reports\/global-status-report\/."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"530","DOI":"10.1002\/ese3.534","article-title":"Charger\/discharger DC\/DC converter with interleaved configuration for DC-bus regulation and battery protection","volume":"8","year":"2020","journal-title":"Energy Sci. Eng."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Petrone, G., Ramos-Paja, C.A., and Spagnuolo, G. (2016). Photovoltaic Sources Modeling, Wiley-IEEE Press.","DOI":"10.1002\/9781118755877"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"429","DOI":"10.1016\/j.solener.2019.02.057","article-title":"Reconfiguration strategies for reducing partial shading effects in photovoltaic arrays: State of the art","volume":"182","author":"Moger","year":"2019","journal-title":"Sol. Energy"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Gonzalez Montoya, D., Bastidas-Rodriguez, J.D., Trejos-Grisales, L.A., Ramos-Paja, C.A., Petrone, G., and Spagnuolo, G. (2018). A procedure for modeling photovoltaic arrays under any configuration and shading conditions. Energies, 11.","DOI":"10.3390\/en11040767"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1109\/MIE.2014.2360721","article-title":"Control of photovoltaic arrays: Dynamical reconfiguration for fighting mismatched conditions and meeting load requests","volume":"9","author":"Spagnuolo","year":"2015","journal-title":"IEEE Ind. Electron. Mag."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Karakose, M., and Baygin, M. (2014, January 13\u201316). Image processing based analysis of moving shadow effects for reconfiguration in PV arrays. Proceedings of the 2014 IEEE International Energy Conference (ENERGYCON), Dubrovnik, Croatia.","DOI":"10.1109\/ENERGYCON.2014.6850500"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"202","DOI":"10.1080\/18756891.2016.1150004","article-title":"Fuzzy Based Reconfiguration Method Using Intelligent Partial Shadow Detection in PV Arrays","volume":"9","author":"Karakose","year":"2016","journal-title":"Int. J. Comput. Intell. Syst."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Patnaik, B., Aswani, U., Sarkar, G., and Duttagupta, S.P. (2014, January 8\u201313). Image aided dynamic reconfiguration of SPV array under non uniform illumination. Proceedings of the 2014 IEEE 40th Photovoltaic Specialist Conference, PVSC 2014, Denver, CO, USA.","DOI":"10.1109\/PVSC.2014.6925037"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Rabinovici, R., and Dagan, T. (2012, January 14\u201317). Assessment of solar irradiance in large-scale photovoltaic fields by means of video processing. Proceedings of the 2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, Eilat, Israel.","DOI":"10.1109\/EEEI.2012.6377032"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Ghosh, K., Phalguna, P., Duttagupta, S.P., and Gupta, P.K. (2016, January 18\u201320). A novel method to predict Non-uniform illumination pattern on a large scale rooftop SPV array. Proceedings of the 2016 First International Conference on Sustainable Green Buildings and Communities (SGBC), Chennai, India.","DOI":"10.1109\/SGBC.2016.7936079"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1016\/j.apenergy.2016.08.191","article-title":"Automatic detection of solar photovoltaic arrays in high resolution aerial imagery","volume":"183","author":"Malof","year":"2016","journal-title":"Appl. Energy"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"100","DOI":"10.1016\/j.isprsjprs.2018.04.010","article-title":"Photovoltaic panel extraction from very high-resolution aerial imagery using region\u2013line primitive association analysis and template matching","volume":"141","author":"Wang","year":"2018","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"160106","DOI":"10.1038\/sdata.2016.106","article-title":"Distributed solar photovoltaic array location and extent dataset for remote sensing object identification","volume":"3","author":"Bradbury","year":"2016","journal-title":"Sci. Data"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Lin, T.Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Doll\u00e1r, P., and Zitnick, C.L. (2014, January 6\u201312). Microsoft coco: Common objects in context. Proceedings of the Computer Vision\u2014ECCV 2014\u201413th European Conference, Zurich, Switzerland.","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Pierdicca, R., Paolanti, M., Felicetti, A., Piccinini, F., and Zingaretti, P. (2020). Automatic Faults Detection of Photovoltaic Farms: SolAIr, a Deep Learning-Based System for Thermal Images. Energies, 13.","DOI":"10.3390\/en13246496"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"105762","DOI":"10.1016\/j.dib.2020.105762","article-title":"Visual and electrical degradation data of five years aged rooftop photovoltaic modules","volume":"31","author":"Hossion","year":"2020","journal-title":"Data Brief"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Gholami, H., and Nils R\u00f8stvik, H. (2021). Dataset for the Solar Incident Radiation and Electricity Production BIPV\/BAPV System on the Northern\/Southern Fa\u00e7ade in Dense Urban Areas. Data, 6.","DOI":"10.3390\/data6060057"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Villegas-Ceballos, J.P., Rico-Garcia, M., and Ramos-Paja, C.A. (2022, April 08). Dataset of Electrical Parameters of Photovoltaic Panel from RGB Images. Available online: https:\/\/zenodo.org\/record\/6386767.","DOI":"10.3390\/data7060082"},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Raju Pendem, S., Mikkili, S., Rangarajan, S.S., Avv, S., Collins, R.E., and Senjyu, T. (2021). Optimal Hybrid PV Array Topologies to Maximize the Power Output by Reducing the Effect of Non-Uniform Operating Conditions. Electronics, 10.","DOI":"10.3390\/electronics10233014"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"7256","DOI":"10.1109\/TIE.2015.2459380","article-title":"Model-Based Degradation Analysis of Photovoltaic Modules Through Series Resistance Estimation","volume":"62","author":"Franco","year":"2015","journal-title":"IEEE Trans. Ind. Electron."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"27279","DOI":"10.1007\/s11042-021-10996-9","article-title":"Research on the application of local binary patterns based on color distance in image classification","volume":"80","author":"Zhao","year":"2021","journal-title":"Multimed. Tools Appl."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1035","DOI":"10.1109\/JPHOTOV.2020.2982117","article-title":"Multilayer Thermal Model for Evaluating the Performances of Monofacial and Bifacial Photovoltaic Modules","volume":"10","author":"Tina","year":"2020","journal-title":"IEEE J. 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