{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,2]],"date-time":"2025-10-02T00:16:25Z","timestamp":1759364185524,"version":"build-2065373602"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032027245","type":"print"},{"value":"9783032027252","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-3-032-02725-2_45","type":"book-chapter","created":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:37:02Z","timestamp":1759279022000},"page":"575-585","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Methodological Framework for the Creation of Digital Twins for Photovoltaic Power Plants"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-1387-8982","authenticated-orcid":false,"given":"Anibal","family":"Mantilla-Guerra","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6715-191X","authenticated-orcid":false,"given":"Christian","family":"Mejia-Escobar","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4762-6927","authenticated-orcid":false,"given":"Jorge","family":"Azorin-Lopez","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7798-3055","authenticated-orcid":false,"given":"Jose","family":"Garcia-Rodriguez","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,10,1]]},"reference":[{"key":"45_CR1","doi-asserted-by":"crossref","unstructured":"Van der Valk, H., Ha\u00dfe, H., M\u00f6ller, F., Otto, B.: Archetypes of digital twins. Bus. Inf. Syst. Eng. 64(3), 375\u2013391 (2022)","DOI":"10.1007\/s12599-021-00727-7"},{"key":"45_CR2","doi-asserted-by":"publisher","first-page":"101334","DOI":"10.1016\/j.esr.2024.101334","volume":"46","author":"FB Ismail","year":"2024","unstructured":"Ismail, F.B., Al-Faiz, H., Hasini, H., Al-Bazi, A., Kazem, H.A.: A comprehensive review of the dynamic applications of the digital twin technology across diverse energy sectors. Energy Strategy Rev. 46, 101334 (2024)","journal-title":"Energy Strategy Rev."},{"issue":"2","key":"45_CR3","doi-asserted-by":"publisher","first-page":"1171","DOI":"10.1007\/s10207-023-00784-x","volume":"23","author":"JB Heluany","year":"2024","unstructured":"Heluany, J.B., Gkioulos, V.: A review on digital twins for power generation and distribution. Int. J. Inf. Secur. 23(2), 1171\u20131195 (2024)","journal-title":"Int. J. Inf. Secur."},{"key":"45_CR4","first-page":"1545","volume":"8","author":"AK Sleiti","year":"2022","unstructured":"Sleiti, A.K., Kapat, J.S., Vesely, L.: Digital twin in energy industry: proposed robust digital twin for power plant and other complex capital-intensive large engineering systems. Energy Rep. 8, 1545\u20131564 (2022)","journal-title":"Energy Rep."},{"key":"45_CR5","doi-asserted-by":"publisher","first-page":"111812","DOI":"10.1016\/j.solener.2023.111812","volume":"262","author":"R Concei\u00e7\u00e3o","year":"2023","unstructured":"Concei\u00e7\u00e3o, R., Mart\u00ednez Hern\u00e1ndez, A., Romero, M., Gonz\u00e1lez-Aguilar, J.: Experimental soiling assessment, characterization and modelling of a highly-compact heliostat field in an urban environment. Sol. Energy 262, 111812 (2023)","journal-title":"Sol. Energy"},{"key":"45_CR6","doi-asserted-by":"crossref","unstructured":"Angelova, D.D., Fern\u00e1ndez, D.C., Godoy, M.C., Moreno, J.A.\u00c1., Gonz\u00e1lez, J.F.G.: A review on digital twins and its application in the modeling of photovoltaic installations. Preprints (2024)","DOI":"10.20944\/preprints202401.1585.v1"},{"key":"45_CR7","doi-asserted-by":"publisher","first-page":"100530","DOI":"10.1016\/j.ref.2023.100530","volume":"48","author":"S Idrissi Kaitouni","year":"2024","unstructured":"Idrissi Kaitouni, S., et al.: Implementing a digital twin-based fault detection and diagnosis approach for optimal operation and maintenance of urban distributed solar photovoltaics. Renew. Energy Focus 48, 100530 (2024)","journal-title":"Renew. Energy Focus"},{"issue":"12","key":"45_CR8","doi-asserted-by":"publisher","first-page":"4787","DOI":"10.3390\/en16124787","volume":"16","author":"M Belik","year":"2023","unstructured":"Belik, M., Rubanenko, O.: Implementation of digital twin for increasing efficiency of renewable energy sources. Energies 16(12), 4787 (2023)","journal-title":"Energies"},{"issue":"11","key":"45_CR9","doi-asserted-by":"publisher","first-page":"4324","DOI":"10.3390\/en16114324","volume":"16","author":"D Esp\u00edn-Sarzosa","year":"2023","unstructured":"Esp\u00edn-Sarzosa, D., Palma-Behnke, R., Valencia-Arroyave, F.: Towards digital twins of small productive processes in Microgrids. Energies 16(11), 4324 (2023)","journal-title":"Energies"},{"key":"45_CR10","doi-asserted-by":"publisher","first-page":"111909","DOI":"10.1016\/j.solener.2023.111909","volume":"262","author":"S Ruiz-Moreno","year":"2023","unstructured":"Ruiz-Moreno, S., Gallego, A.J., Camacho, E.F.: Artificial neural network-based fault detection and isolation in a parabolic-trough solar plant with defocusing strategy. Sol. Energy 262, 111909 (2023)","journal-title":"Sol. Energy"},{"issue":"2","key":"45_CR11","doi-asserted-by":"publisher","first-page":"239","DOI":"10.3390\/forecast6020014","volume":"6","author":"A Lekidis","year":"2024","unstructured":"Lekidis, A., Georgakis, A., Dalamagkas, C., Papageorgiou, E.I.: Predictive maintenance framework for fault detection in remote terminal units. Forecasting 6(2), 239\u2013265 (2024)","journal-title":"Forecasting"},{"key":"45_CR12","doi-asserted-by":"publisher","first-page":"127807","DOI":"10.1016\/j.energy.2023.127807","volume":"278","author":"C Scott","year":"2023","unstructured":"Scott, C., Ahsan, M., Albarbar, A.: Machine learning for forecasting a photovoltaic (PV) generation system. Energy 278, 127807 (2023)","journal-title":"Energy"},{"key":"45_CR13","doi-asserted-by":"crossref","unstructured":"Singh, R., Akram, S.V., Gehlot, A., Buddhi, D., Priyadarshi, N., Twala, B.: Energy System 4.0: Digitalization of the Energy Sector with Inclination towards Sustainability. Sensors 22(17), 6619 (2022)","DOI":"10.3390\/s22176619"},{"issue":"1","key":"45_CR14","doi-asserted-by":"publisher","first-page":"940","DOI":"10.1109\/TPEL.2019.2911594","volume":"35","author":"P Jain","year":"2020","unstructured":"Jain, P., Poon, J., Singh, J.P., Spanos, C., Sanders, S.R., Panda, S.K.: A digital twin approach for fault diagnosis in distributed photovoltaic systems. IEEE Trans. Power Electron. 35(1), 940\u2013956 (2020)","journal-title":"IEEE Trans. Power Electron."}],"container-title":["Lecture Notes in Computer Science","Advances in Computational Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-02725-2_45","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:37:05Z","timestamp":1759279025000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-02725-2_45"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,1]]},"ISBN":["9783032027245","9783032027252"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-02725-2_45","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,10,1]]},"assertion":[{"value":"1 October 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IWANN","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Work-Conference on Artificial Neural Networks","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"A Coru\u00f1a","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 June 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 June 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iwann2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iwann.uma.es\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}