{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T01:00:23Z","timestamp":1767315623477,"version":"3.48.0"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032055033","type":"print"},{"value":"9783032055040","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"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\/978-3-032-05504-0_3","type":"book-chapter","created":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T00:57:41Z","timestamp":1767315461000},"page":"23-34","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Comparative Performance Analysis for Modelling Photovoltaic Solar Panels Including their Temperature"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-3536-7483","authenticated-orcid":false,"given":"Anabel","family":"D\u00edaz-Labrador","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8580-4889","authenticated-orcid":false,"given":"\u00c1ngel","family":"Delgado","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-5450-6150","authenticated-orcid":false,"given":"H\u00e9ctor J.","family":"P\u00e9rez-Iglesias","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4203-8720","authenticated-orcid":false,"given":"\u00d3scar","family":"Fontenla-Romero","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2333-8405","authenticated-orcid":false,"given":"Jos\u00e9 Luis","family":"Calvo-Rolle","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,1,2]]},"reference":[{"key":"3_CR1","unstructured":"Agency IRENA (2024) Renewable capacity statistics 2024. https:\/\/www.irena.org\/Publications\/2024\/Mar\/Renewable-capacity-statistics-2024"},{"issue":"2","key":"3_CR2","doi-asserted-by":"publisher","first-page":"1148","DOI":"10.1214\/18-AOS1709","volume":"47","author":"S Athey","year":"2019","unstructured":"Athey S, Tibshirani J, Wager S (2019) Generalized random forests. Ann Stat 47(2):1148\u20131178. https:\/\/doi.org\/10.1214\/18-AOS1709","journal-title":"Ann Stat"},{"key":"3_CR3","doi-asserted-by":"crossref","unstructured":"Cabello-Solorzano K, Ortigosa\u00a0de Araujo I, Pe\u00f1a M, Correia L, Tall\u00f3n-Ballesteros AJ (2023) The impact of data normalization on the accuracy of machine learning algorithms: a comparative analysis. In: Garc\u00eda\u00a0Bringas P, P\u00e9rez\u00a0Garc\u00eda H, Mart\u00ednez\u00a0de Pis\u00f3n FJ, Mart\u00ednez\u00a0\u00c1lvarez F, Troncoso\u00a0Lora A, Herrero \u00c1, Calvo\u00a0Rolle JL, Quinti\u00e1n H, Corchado E (eds) 18th International conference on soft computing models in industrial and environmental applications (SOCO 2023). Springer Nature Switzerland, Cham, pp 344\u2013353","DOI":"10.1007\/978-3-031-42536-3_33"},{"key":"3_CR4","doi-asserted-by":"publisher","unstructured":"Commission European for Energy DG (2019) Clean energy for all Europeans. Publications Office. https:\/\/doi.org\/10.2833\/9937","DOI":"10.2833\/9937"},{"key":"3_CR5","doi-asserted-by":"publisher","unstructured":"Czajkowski M, Kretowski M (2016) The role of decision tree representation in regression problems\u2014an evolutionary perspective. Appl Soft Comput 48:458\u2013475. https:\/\/doi.org\/10.1016\/j.asoc.2016.07.007, https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1568494616303325","DOI":"10.1016\/j.asoc.2016.07.007"},{"issue":"3","key":"3_CR6","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1080\/00401706.1964.10490181","volume":"6","author":"OJ Dunn","year":"1964","unstructured":"Dunn OJ (1964) Multiple comparisons using rank sums. Technometrics 6(3):241\u2013252. https:\/\/doi.org\/10.1080\/00401706.1964.10490181","journal-title":"Technometrics"},{"key":"3_CR7","doi-asserted-by":"crossref","unstructured":"Hastie T, Tibshirani R, Friedman J (2009) The elements of statistical learning: data mining, inference, and prediction. Springer Series in Statistics, Springer, 2 edn. https:\/\/hastie.su.domains\/ElemStatLearn\/","DOI":"10.1007\/978-0-387-84858-7"},{"issue":"5","key":"3_CR8","first-page":"605","volume":"3","author":"SB Imandoust","year":"2013","unstructured":"Imandoust SB, Bolandraftar M et al (2013) Application of k-nearest neighbor (KNN) approach for predicting economic events: theoretical background. Int J Eng Res Appl 3(5):605\u2013610","journal-title":"Int J Eng Res Appl"},{"key":"3_CR9","doi-asserted-by":"publisher","unstructured":"Ivanov A, Bezyayev A, Gazin A (2017) Simplification of statistical description of quantum entanglement of multidimensional biometric data using symmetrization of paired correlation matrices. J Comput Eng Math 4:3\u201313. https:\/\/doi.org\/10.14529\/jcem170201","DOI":"10.14529\/jcem170201"},{"key":"3_CR10","doi-asserted-by":"publisher","unstructured":"Jebli I, Belouadha FZ, Kabbaj MI, Tilioua A (2021) Prediction of solar energy guided by pearson correlation using machine learning. Energy 224:120109. https:\/\/doi.org\/10.1016\/j.energy.2021.120109, https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0360544221003583","DOI":"10.1016\/j.energy.2021.120109"},{"key":"3_CR11","doi-asserted-by":"publisher","unstructured":"Kittappa T, John De Britto C, Lakshmi V, Balasubramanian P (2024) Challenges and opportunities for 100 sources. In: International conference on power, energy, control and transmission systems (ICPECTS), pp 1\u20136. https:\/\/doi.org\/10.1109\/ICPECTS62210.2024.10779995","DOI":"10.1109\/ICPECTS62210.2024.10779995"},{"key":"3_CR12","doi-asserted-by":"publisher","unstructured":"Kumar BS, Kunar BM, Murthy CSN (2025) Performance evaluation and machine learning analysis of 3 kw grid-connected bifacial solar photovoltaic systems. J Instit Eng (India): Series B. https:\/\/doi.org\/10.1007\/s40031-025-01204-5","DOI":"10.1007\/s40031-025-01204-5"},{"key":"3_CR13","unstructured":"Montgomery DC, Peck EA, Vining GG (2021) Introduction to linear regression analysis. John Wiley & Sons"},{"key":"3_CR14","doi-asserted-by":"publisher","first-page":"115","DOI":"10.4028\/www.scientific.net\/AMM.611.115","volume":"611","author":"E Ostertagov\u00e1","year":"2014","unstructured":"Ostertagov\u00e1 E, Ostertag O, Kov\u00e1\u010d J (2014) Methodology and application of the Kruskal-Wallis test. Appl Mech Mater 611:115\u2013120","journal-title":"Appl Mech Mater"},{"key":"3_CR15","doi-asserted-by":"publisher","unstructured":"Pan M, Li C, Gao R, Huang Y, You H, Gu T, Qin F (2020) Photovoltaic power forecasting based on a support vector machine with improved ant colony optimization. J Clean Prod 277:123948. https:\/\/doi.org\/10.1016\/j.jclepro.2020.123948, https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0959652620339937","DOI":"10.1016\/j.jclepro.2020.123948"},{"key":"3_CR16","doi-asserted-by":"publisher","unstructured":"Qais MH, Hasanien HM, Alghuwainem S (2020) Parameters extraction of three-diode photovoltaic model using computation and harris hawks optimization. Energy 195:117040. https:\/\/doi.org\/10.1016\/j.energy.2020.117040, https:\/\/www.sciencedirect.com\/science\/article\/pii\/S036054422030147X","DOI":"10.1016\/j.energy.2020.117040"},{"key":"3_CR17","doi-asserted-by":"crossref","unstructured":"Wrigley EA (2010) Energy and the English industrial revolution. Cambridge University Press","DOI":"10.1017\/CBO9780511779619"}],"container-title":["Lecture Notes in Networks and Systems","Distributed Computing and Artificial Intelligence, Special Sessions III, 22nd International Conference"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-05504-0_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T00:57:43Z","timestamp":1767315463000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-05504-0_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9783032055033","9783032055040"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-05504-0_3","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"value":"2367-3370","type":"print"},{"value":"2367-3389","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"2 January 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DCAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Symposium on Distributed Computing and Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Lille","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"France","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":"25 June 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 June 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dcai2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.dcai-conference.net\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}