{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T05:42:53Z","timestamp":1761975773245,"version":"3.40.3"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030348847"},{"type":"electronic","value":"9783030348854"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-34885-4_30","type":"book-chapter","created":{"date-parts":[[2019,12,9]],"date-time":"2019-12-09T00:02:46Z","timestamp":1575849766000},"page":"392-403","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Optimization of Silicon Tandem Solar Cells Using Artificial Neural Networks"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4139-5315","authenticated-orcid":false,"given":"Jatin Kumar","family":"Chaudhary","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiaqing","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jukka-Pekka","family":"Sk\u00f6n","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yen Wie","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rajeev Kumar","family":"Kanth","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jukka","family":"Heikkonen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,11,19]]},"reference":[{"issue":"2","key":"30_CR1","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1016\/0379-6787(82)90022-9","volume":"5","author":"JD Roessner","year":"1982","unstructured":"Roessner, J.D.: Government-industry relationships in technology commercialization: the case of photovoltaics. Sol. Cells 5(2), 101\u2013134 (1982)","journal-title":"Sol. Cells"},{"key":"30_CR2","unstructured":"Third Generation Photovoltaics (2012)"},{"issue":"4","key":"30_CR3","doi-asserted-by":"publisher","first-page":"485","DOI":"10.1177\/0144598716650552","volume":"34","author":"M Gul","year":"2016","unstructured":"Gul, M., Kotak, Y., Muneer, T.: Review on recent trend of solar photovoltaic technology. Energy Explor. Exploit. 34(4), 485\u2013526 (2016)","journal-title":"Energy Explor. Exploit."},{"key":"30_CR4","doi-asserted-by":"crossref","unstructured":"Ramaprabha, R., Gothandaraman, V., Kanimozhi, K., Divya, R., Mathur, B.L.: Maximum power point tracking using GA-optimized artificial neural network for solar PV system. In: 2011 1st International Conference on Electrical Energy Systems, pp. 264\u2013268. IEEE, January 2011","DOI":"10.1109\/ICEES.2011.5725340"},{"key":"30_CR5","doi-asserted-by":"publisher","first-page":"527","DOI":"10.1016\/S0040-6090(99)00825-1","volume":"361","author":"M Burgelman","year":"2000","unstructured":"Burgelman, M., Nollet, P., Degrave, S.: Modelling polycrystalline semiconductor solar cells. Thin Solid Films 361, 527\u2013532 (2000)","journal-title":"Thin Solid Films"},{"issue":"2","key":"30_CR6","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1007\/s00500-009-0438-9","volume":"14","author":"H Bae","year":"2010","unstructured":"Bae, H., et al.: Optimization of silicon solar cell fabrication based on neural network and genetic programming modeling. Soft. Comput. 14(2), 161\u2013169 (2010)","journal-title":"Soft. Comput."},{"issue":"1\u20132","key":"30_CR7","first-page":"127","volume":"43","author":"M Carrasco","year":"2013","unstructured":"Carrasco, M., Mancilla-David, F., Fulginei, F.R., Laudani, A., Salvini, A.: A neural networks-based maximum power point tracker with improved dynamics for variable dc-link grid-connected photovoltaic power plants. Int. J. Appl. Electro Magn. Mech. 43(1\u20132), 127\u2013135 (2013)","journal-title":"Int. J. Appl. Electro Magn. Mech."},{"key":"30_CR8","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1016\/j.renene.2013.05.011","volume":"60","author":"SX Chen","year":"2013","unstructured":"Chen, S.X., Gooi, H.B., Wang, M.Q.: Solar radiation forecast based on fuzzy logic and neural networks. Renew. Energy 60, 195\u2013201 (2013)","journal-title":"Renew. Energy"},{"issue":"4","key":"30_CR9","doi-asserted-by":"publisher","first-page":"383","DOI":"10.1016\/S0306-2619(03)00153-3","volume":"77","author":"SA Kalogirou","year":"2004","unstructured":"Kalogirou, S.A.: Optimization of solar systems using artificial neural-networks and genetic algorithms. Appl. Energy 77(4), 383\u2013405 (2004)","journal-title":"Appl. Energy"},{"issue":"9\u201310","key":"30_CR10","doi-asserted-by":"publisher","first-page":"1159","DOI":"10.1016\/j.enconman.2005.07.007","volume":"47","author":"E Karatepe","year":"2006","unstructured":"Karatepe, E., Boztepe, M., Colak, M.: Neural network based solar cell model. Energy Convers. Manag. 47(9\u201310), 1159\u20131178 (2006)","journal-title":"Energy Convers. Manag."},{"issue":"2","key":"30_CR11","first-page":"241","volume":"20","author":"AA Kulaksiz","year":"2012","unstructured":"Kulaksiz, A.A., Akkaya, R.: Training data optimization for ANNs using genetic algorithms to enhance MPPT efficiency of a stand-alone PV system. Turk. J. Electr. Eng. Comput. Sci. 20(2), 241\u2013254 (2012)","journal-title":"Turk. J. Electr. Eng. Comput. Sci."},{"issue":"2","key":"30_CR12","doi-asserted-by":"publisher","first-page":"773","DOI":"10.1016\/j.solmat.2010.10.022","volume":"95","author":"AK Rai","year":"2011","unstructured":"Rai, A.K., Kaushika, N.D., Singh, B., Agarwal, N.: Simulation model of ANN based maximum power point tracking controller for solar PV system. Sol. Energy Mater. Sol. Cells 95(2), 773\u2013778 (2011)","journal-title":"Sol. Energy Mater. Sol. Cells"},{"key":"30_CR13","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1016\/j.enbuild.2012.04.012","volume":"51","author":"S Subiyanto","year":"2012","unstructured":"Subiyanto, S., Mohamed, A., Hannan, M.A.: Intelligent maximum power point tracking for PV system using hopfield neural network optimized fuzzy logic controller. Energy Build. 51, 29\u201338 (2012)","journal-title":"Energy Build."},{"key":"30_CR14","doi-asserted-by":"publisher","first-page":"238","DOI":"10.1016\/j.solener.2014.07.013","volume":"108","author":"X Yuan","year":"2014","unstructured":"Yuan, X., Xiang, Y., He, Y.: Parameter extraction of solar cell models using mutative-scale parallel chaos optimization algorithm. Sol. Energy 108, 238\u2013251 (2014)","journal-title":"Sol. Energy"},{"key":"30_CR15","unstructured":"MATLAB and Neural Network Toolbox Release: The Math-Works, Inc., Natick, Massachusetts, United States (2018b)"},{"key":"30_CR16","doi-asserted-by":"publisher","unstructured":"San, O., Maulik, R.: Neural network closures for nonlinear model order reduction. Adv. Comput. Math. (2018). \nhttps:\/\/doi.org\/10.1007\/s10444-018-9590-z","DOI":"10.1007\/s10444-018-9590-z"},{"key":"30_CR17","doi-asserted-by":"publisher","unstructured":"Dan Foresee, F., Hagan, M.T.: Gauss-Newton approximation to Bayesian learning. In: Proceedings of International Conference on Neural Networks (ICNN 1997) (n.d.). \nhttps:\/\/doi.org\/10.1109\/icnn.1997.614194","DOI":"10.1109\/icnn.1997.614194"}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence XXXVI"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-34885-4_30","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,4,22]],"date-time":"2020-04-22T20:02:57Z","timestamp":1587585777000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-34885-4_30"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030348847","9783030348854"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-34885-4_30","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"19 November 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SGAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Innovative Techniques and Applications of Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cambridge","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 December 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 December 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"39","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"sgai2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/bcs-sgai.org\/ai2019\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}