{"project":[{"name":"Institut für Technische Energie-Systeme","_id":"0ec202b7-cd76-11ed-89f4-a9e1a6dbdaa7"}],"corporate_editor":["IEEE"],"conference":{"name":"PESS 2023","location":"Bielefeld"},"author":[{"id":"239179","first_name":"Thomas","full_name":"Engelmann, Thomas","last_name":"Engelmann"},{"last_name":"Quakernack","full_name":"Quakernack, Lars","first_name":"Lars","id":"221506"},{"full_name":"Haubrock, Jens","last_name":"Haubrock","first_name":"Jens"}],"user_id":"239179","department":[{"_id":"103"}],"publication_identifier":{"isbn":["978-3-8007-6318-4"]},"date_updated":"2025-02-21T12:43:07Z","date_created":"2025-02-21T12:41:20Z","language":[{"iso":"eng"}],"publication_status":"published","type":"conference","year":"2023","title":"Q-learning based control algorithm with dynamic combination of peak shaving and self-consumption optimization for industrial battery storage systems","citation":{"bibtex":"@inproceedings{Engelmann_Quakernack_Haubrock_2023, title={Q-learning based control algorithm with dynamic combination of peak shaving and self-consumption optimization for industrial battery storage systems}, author={Engelmann, Thomas and Quakernack, Lars and Haubrock, Jens}, editor={IEEEEditor}, year={2023} }","mla":"Engelmann, Thomas, et al. <i>Q-Learning Based Control Algorithm with Dynamic Combination of Peak Shaving and Self-Consumption Optimization for Industrial Battery Storage Systems</i>. Edited by IEEE, 2023.","short":"T. Engelmann, L. Quakernack, J. Haubrock, in: IEEE (Ed.), 2023.","alphadin":"<span style=\"font-variant:small-caps;\">Engelmann, Thomas</span> ; <span style=\"font-variant:small-caps;\">Quakernack, Lars</span> ; <span style=\"font-variant:small-caps;\">Haubrock, Jens</span>: Q-learning based control algorithm with dynamic combination of peak shaving and self-consumption optimization for industrial battery storage systems. In: <span style=\"font-variant:small-caps;\">IEEE</span> (Hrsg.): , 2023","chicago":"Engelmann, Thomas, Lars Quakernack, and Jens Haubrock. “Q-Learning Based Control Algorithm with Dynamic Combination of Peak Shaving and Self-Consumption Optimization for Industrial Battery Storage Systems.” edited by IEEE, 2023.","apa":"Engelmann, T., Quakernack, L., &#38; Haubrock, J. (2023). Q-learning based control algorithm with dynamic combination of peak shaving and self-consumption optimization for industrial battery storage systems. In IEEE (Ed.). Presented at the PESS 2023, Bielefeld.","ama":"Engelmann T, Quakernack L, Haubrock J. Q-learning based control algorithm with dynamic combination of peak shaving and self-consumption optimization for industrial battery storage systems. In: IEEE, ed. ; 2023.","ieee":"T. Engelmann, L. Quakernack, and J. Haubrock, “Q-learning based control algorithm with dynamic combination of peak shaving and self-consumption optimization for industrial battery storage systems,” presented at the PESS 2023, Bielefeld, 2023."},"status":"public","_id":"5723"}