Kolbe, Lutz M.

[["dc.bibliographiccitation.artnumber","26"],["dc.bibliographiccitation.firstpage","1"],["dc.bibliographiccitation.issue","Suppl 1"],["dc.bibliographiccitation.journal","Energy Informatics"],["dc.bibliographiccitation.lastpage","20"],["dc.bibliographiccitation.volume","3"],["dc.contributor.author","Holly, Stefanie"],["dc.contributor.author","Nieße, Astrid"],["dc.contributor.author","Tröschel, Martin"],["dc.contributor.author","Hammer, Lasse"],["dc.contributor.author","Franzius, Christoph"],["dc.contributor.author","Dmitriyev, Viktor"],["dc.contributor.author","Dorfner, Johannes"],["dc.contributor.author","Veith, Eric M."],["dc.contributor.author","Harnischmacher, Christine"],["dc.contributor.author","Greve, Maike"],["dc.contributor.author","Masuch, Kristin"],["dc.contributor.author","Kolbe, Lutz"],["dc.contributor.author","Wulff, Boris"],["dc.contributor.author","Kretz, Julian"],["dc.date.accessioned","2020-11-01T04:30:24Z"],["dc.date.accessioned","2021-10-27T13:19:55Z"],["dc.date.available","2020-11-01T04:30:24Z"],["dc.date.available","2021-10-27T13:19:55Z"],["dc.date.issued","2020"],["dc.date.updated","2020-11-01T04:30:24Z"],["dc.description.abstract","Abstract Unlocking and managing flexibility is an important contribution to the integration of renewable energy and an efficient and resilient operation of the power system. In this paper, we discuss how the potential of a fleet of battery-electric transportation vehicles can be used to provide frequency containment reserve. To this end, we first examine the use case in detail and then present the system designed to meet this challenge. We give an overview of the tasks and individual sub-components, consisting of (a) an artificial neural network to predict the availability of Automated Guided Vehicles (AGVs) day-ahead, (b) a heuristic approach to compute marketable flexibility, (c) a simulation to check the plausibility of flexibility schedules, (d) a multi-agent system to continuously monitor and control the AGVs and (e) the integration of fleet flexibility into a virtual power plant. We also present our approach to the economic analysis of this provision of a system-critical service in a logistical context characterised by high uncertainty and variability."],["dc.identifier.doi","10.1186/s42162-020-00129-1"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/17634"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/91923"],["dc.language.iso","en"],["dc.notes.intern","Migrated from goescholar"],["dc.publisher","Springer International Publishing"],["dc.relation.orgunit","Wirtschaftswissenschaftliche Fakultät"],["dc.rights","CC BY 4.0"],["dc.rights.access","openAccess"],["dc.rights.holder","The Author(s)"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Flexibility management and provision of balancing services with battery-electric automated guided vehicles in the Hamburg container terminal Altenwerder"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","2176"],["dc.bibliographiccitation.issue","11"],["dc.bibliographiccitation.journal","Healthcare"],["dc.bibliographiccitation.volume","10"],["dc.contributor.affiliation","Klumpp, Matthias; 1Fraunhofer IML Dortmund, 44227 Dortmund, Germany"],["dc.contributor.affiliation","Hanelt, André; 3Faculty of Economics and Management, University of Kassel, 34125 Kassel, Germany"],["dc.contributor.affiliation","Greve, Maike; 2Department of Business Administration, University of Göttingen, 37073 Göttingen, Germany"],["dc.contributor.affiliation","Kolbe, Lutz M.; 2Department of Business Administration, University of Göttingen, 37073 Göttingen, Germany"],["dc.contributor.affiliation","Tofangchi, Schahin; 4Soramitsu Co., Ltd., Tokyo 151-0051, Japan"],["dc.contributor.affiliation","Böhrnsen, Florian; 5University Medical Center Göttingen, 37075 Göttingen, Germany"],["dc.contributor.affiliation","Jakob, Jens; 5University Medical Center Göttingen, 37075 Göttingen, Germany"],["dc.contributor.affiliation","Kaczmarek, Sylvia; 1Fraunhofer IML Dortmund, 44227 Dortmund, Germany"],["dc.contributor.affiliation","Börsting, Ingo; 6Faculty of Business Administration and Economics, University of Duisburg-Essen, 45127 Essen, Germany"],["dc.contributor.affiliation","Ehmke, Christopher; 6Faculty of Business Administration and Economics, University of Duisburg-Essen, 45127 Essen, Germany"],["dc.contributor.affiliation","Düsing, Helena; 7University Medical Center of Münster, 48149 Münster, Germany"],["dc.contributor.affiliation","Juhra, Christian; 7University Medical Center of Münster, 48149 Münster, Germany"],["dc.contributor.author","Klumpp, Matthias"],["dc.contributor.author","Hanelt, André"],["dc.contributor.author","Greve, Maike"],["dc.contributor.author","Kolbe, Lutz M."],["dc.contributor.author","Tofangchi, Schahin"],["dc.contributor.author","Böhrnsen, Florian"],["dc.contributor.author","Jakob, Jens"],["dc.contributor.author","Kaczmarek, Sylvia"],["dc.contributor.author","Börsting, Ingo"],["dc.contributor.author","Ehmke, Christopher"],["dc.contributor.author","Juhra, Christian"],["dc.contributor.author","Düsing, Helena"],["dc.contributor.editor","Carreras, Joaquim"],["dc.date.accessioned","2022-12-01T08:31:40Z"],["dc.date.available","2022-12-01T08:31:40Z"],["dc.date.issued","2022"],["dc.date.updated","2022-11-28T11:15:20Z"],["dc.description.abstract","Digital applications in health care are a concurrent research and management question, where implementation experiences are a core field of information systems research. It also contributes to fighting pandemic crises like COVID-19 because contactless information flow and speed of diagnostics are improved. This paper presents three digital application case studies from emergency medicine, administration management, and cancer diagnosis with AI support from the University Medical Centers of Münster and Göttingen in Germany. All cases highlight the potential of digitalization to increase speed and efficiency within the front end of medicine as the crucial phase before patient treatment starts. General challenges for health care project implementations and human-computer interaction (HCI) concepts in health care are derived and discussed, including the importance of specific processes together with user analysis and adaption. A derived concept for HCI includes the criteria speed, accuracy, modularity, and individuality to achieve sustainable improvements within the front end of medicine."],["dc.description.sponsorship","central publication fund"],["dc.identifier.doi","10.3390/healthcare10112176"],["dc.identifier.pii","healthcare10112176"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/118231"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-621"],["dc.publisher","MDPI"],["dc.relation.eissn","2227-9032"],["dc.rights","Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/)."],["dc.title","Accelerating the Front End of Medicine: Three Digital Use Cases and HCI Implications"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]