{"doi":"10.1016/j.engappai.2022.105537","date_created":"2022-11-14T08:13:11Z","status":"public","author":[{"id":"49265","first_name":"Wilhelm","last_name":"Kirchgässner","full_name":"Kirchgässner, Wilhelm","orcid":"0000-0001-9490-1843"},{"orcid":"https://orcid.org/0000-0001-9362-8777","last_name":"Wallscheid","full_name":"Wallscheid, Oliver","first_name":"Oliver","id":"11291"},{"last_name":"Böcker","full_name":"Böcker, Joachim","orcid":"0000-0002-8480-7295","id":"66","first_name":"Joachim"}],"user_id":"49265","year":"2022","article_number":"105537","publisher":"Elsevier BV","title":"Thermal neural networks: Lumped-parameter thermal modeling with state-space machine learning","_id":"34065","language":[{"iso":"eng"}],"type":"journal_article","volume":117,"date_updated":"2023-03-09T10:08:12Z","intvolume":"       117","department":[{"_id":"52"}],"publication_identifier":{"issn":["0952-1976"]},"publication_status":"published","project":[{"name":"PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"citation":{"ama":"Kirchgässner W, Wallscheid O, Böcker J. Thermal neural networks: Lumped-parameter thermal modeling with state-space machine learning. <i>Engineering Applications of Artificial Intelligence</i>. 2022;117. doi:<a href=\"https://doi.org/10.1016/j.engappai.2022.105537\">10.1016/j.engappai.2022.105537</a>","ieee":"W. Kirchgässner, O. Wallscheid, and J. Böcker, “Thermal neural networks: Lumped-parameter thermal modeling with state-space machine learning,” <i>Engineering Applications of Artificial Intelligence</i>, vol. 117, Art. no. 105537, 2022, doi: <a href=\"https://doi.org/10.1016/j.engappai.2022.105537\">10.1016/j.engappai.2022.105537</a>.","chicago":"Kirchgässner, Wilhelm, Oliver Wallscheid, and Joachim Böcker. “Thermal Neural Networks: Lumped-Parameter Thermal Modeling with State-Space Machine Learning.” <i>Engineering Applications of Artificial Intelligence</i> 117 (2022). <a href=\"https://doi.org/10.1016/j.engappai.2022.105537\">https://doi.org/10.1016/j.engappai.2022.105537</a>.","apa":"Kirchgässner, W., Wallscheid, O., &#38; Böcker, J. (2022). Thermal neural networks: Lumped-parameter thermal modeling with state-space machine learning. <i>Engineering Applications of Artificial Intelligence</i>, <i>117</i>, Article 105537. <a href=\"https://doi.org/10.1016/j.engappai.2022.105537\">https://doi.org/10.1016/j.engappai.2022.105537</a>","short":"W. Kirchgässner, O. Wallscheid, J. Böcker, Engineering Applications of Artificial Intelligence 117 (2022).","mla":"Kirchgässner, Wilhelm, et al. “Thermal Neural Networks: Lumped-Parameter Thermal Modeling with State-Space Machine Learning.” <i>Engineering Applications of Artificial Intelligence</i>, vol. 117, 105537, Elsevier BV, 2022, doi:<a href=\"https://doi.org/10.1016/j.engappai.2022.105537\">10.1016/j.engappai.2022.105537</a>.","bibtex":"@article{Kirchgässner_Wallscheid_Böcker_2022, title={Thermal neural networks: Lumped-parameter thermal modeling with state-space machine learning}, volume={117}, DOI={<a href=\"https://doi.org/10.1016/j.engappai.2022.105537\">10.1016/j.engappai.2022.105537</a>}, number={105537}, journal={Engineering Applications of Artificial Intelligence}, publisher={Elsevier BV}, author={Kirchgässner, Wilhelm and Wallscheid, Oliver and Böcker, Joachim}, year={2022} }"},"publication":"Engineering Applications of Artificial Intelligence"}