Suche nach „[Mobil]“ hat 325 Publikationen gefunden

DigitalMobilAngewandte InformatikTC Plattling MoMo

Beitrag (Sammelband oder Tagungsband)

Nicki Bodenschatz, Markus Eider, Andreas Berl

Mixed-Integer-Linear-Programming model for the charging scheduling of electric vehicle fleets

[Accepted for publication]

Proceedings of the 2020 10th International Conference on Advanced Computer Information Technologies (ACIT) [September 6-8, 2020; Deggendorf]

2020

MobilNachhaltigAngewandte InformatikTC Plattling MoMo

Beitrag (Sammelband oder Tagungsband)

Markus Eider, Andreas Berl

Requirements for prescriptive recommender systems extending the lifetime of EV batteries

[Accepted for publication]

Proceedings of the 2020 10th International Conference on Advanced Computer Information Technologies (ACIT) [September 6-8, 2020; Deggendorf]

2020

DigitalMobilAngewandte Informatik

Beitrag (Sammelband oder Tagungsband)

S. Mund, Patrick Glauner

Autonomous Driving on the Thin Trail of Great Opportunities and Dangerous Trust

Innovative Technologies for Market Leadership: Investing in the Future

2020

ISBN: 978-3-030-41308-8

MobilNachhaltigEuropan Campus Rottal-Inn

Sonstiges

Georg Steckenbauer

Tourism Naturally Conference (TNC) 2020

Session Chair/Member of the Scientific Committee. Colorado State University; University of Derby; Technische Hochschule Deggendorf; University of Sunderland; Central China Normal University; Università di Pisa

2020

MobilAngewandte Wirtschaftswissenschaften

Vortrag

Martina Hekler

Sitzungsleitung

23. Jahrestagung der Deutschen Gesellschaft für Tourismuswirtschaft e.V.: "Zukunft des Tourismus im ländlichen Raum", Deggendorf

2019

MobilAngewandte Wirtschaftswissenschaften

Vortrag

Martina Hekler

Regionalbahnen: Auslaufmodell im ländlichen Raum?

23. Jahrestagung der Deutschen Gesellschaft für Tourismuswirtschaft e.V.: "Zukunft des Tourismus im ländlichen Raum", Deggendorf

2019

MobilAngewandte Wirtschaftswissenschaften

Vortrag

Martina Hekler

Wirksamkeitsaspekte urbaner Mobilität aus einer (stadt)geographischen Sicht

Deutscher Kongress für Geographie 2019, Kiel

2019

MobilAngewandte Wirtschaftswissenschaften

Vortrag

Johannes Klühspies

Sitzungsleitung

23. Jahrestagung der Deutschen Gesellschaft für Tourismuswirtschaft e.V.: "Zukunft des Tourismus im ländlichen Raum", Deggendorf

2019

MobilAngewandte Wirtschaftswissenschaften

Vortrag

Johannes Klühspies

Leitthema, Digitalisierung und Geographie

Sitzungsleitung

Deutscher Kongress für Geographie 2019, Kiel

2019

MobilAngewandte Wirtschaftswissenschaften

Vortrag

Johannes Klühspies

Hochgeschwindigkeitsverkehr der Zukunft: Zukunftsperspektiven für Rad‐Schiene, Magnetbahn und Hyperloop?

Keynote

2019

MobilAngewandte Wirtschaftswissenschaften

Vortrag

Johannes Klühspies

Current developments in maglev transport technologies: A brief look at global trends

Keynote speech

MTCT‐Konferenz, St. Petersburg, Russia

2019

MobilAngewandte Wirtschaftswissenschaften

Vortrag

Johannes Klühspies

Trends der Verkehrs- und Stadtentwicklung: Aspekte von Perspektiven und Grenzen

Chinese Delegation

2019

MobilAngewandte Wirtschaftswissenschaften

Beitrag (Sammelband oder Tagungsband)

Johannes Klühspies

Ein Bahnhof ist das Zugangstor zur Mobilität

Geschäftsbericht 2018 des Zweckverbands Kommunale Verkehrssicherheit Oberpfalz

2019

MobilNachhaltigEuropan Campus Rottal-Inn

Sonstiges

Georg Steckenbauer

Tourism Naturally Conference (TNC) 2019

2019

GesundMobilEuropan Campus Rottal-Inn

Vortrag

Marcus Herntrei, Georg Steckenbauer

The Bavarian Spa Destinations - New markets and products in the context of wellness and health

Tourism Naturally Conference 2019, Buxton, United Kingdom

2019

DigitalMobilNachhaltigAngewandte InformatikTC Grafenau

Vortrag

Markus Straßberger

Vernetzte Mobilität im ländlichen Raum: Wenn die Mobilität im Stau steckt

2019

MobilNachhaltigTC Plattling MoMo

Patent

M. Thannhuber, Michael Sternad

BATTERY PACK FOR AN ELECTRICAL DEVICE, CHARGING DEVICE FOR A BATTERY PACK AND METHOD FOR OPERATING A BATTERY PACK

2019

MobilNachhaltigTC Plattling MoMo

Zeitschriftenartikel

E. dos Santos Sardinha, Michael Sternad, H. Wilkening, H. Martin, G. Wittstock

Nascent SEI-Surface Films on Single Crystalline Silicon Investigated by Scanning Electrochemical Microscopy

ACS Applied Energy Materials, vol. 2, no. 2, pp. 1388-1392

2019

DOI: 10.1021/acsaem.8b01967

Abstract anzeigen

Silicon is a promising high-capacity host material for negative electrodes in lithium-ion batteries with low potential for the lithiation/delithiation reaction that is outside the stability window of organic carbonate electrolytes. Thus, the use of such electrodes critically depends on the formation of a protective solid electrolyte interphase (SEI) from the decomposition products of electrolyte components. Due to the large volume change upon charging, exposure of the electrode material to the electrolyte must be expected, and facile reformation of SEI is a scope for improving the stabilities of such electrodes. Here, we report the formation of incipient SEI layers on monocrystalline silicon by in situ imaging of their passivating properties using scanning electrochemical microscopy after potentiodynamic charging to different final potentials. The images show a local initiation of the SEI growth at potentials of around 1.0 V vs Li/Li+ in 1 M LiClO4 in propylene carbonate.

MobilAngewandte Informatik

Beitrag (Sammelband oder Tagungsband)

Nicki Bodenschatz, Andreas Berl

Viability and Optimality of Electric Vehicle Fleet Schedules

2019 9th International Conference on Advanced Computer Information Technologies (ACIT'2019) [Ceske Budejovice, Czech Republic, June 5-7, 2019]

2019

ISBN: 978-1-7281-0449-2

Abstract anzeigen

The number of electric vehicles is steadily growing and commercial fleet owners follow this trend. However, the charging of fleets has a major impact on the already stressed power grid. To prevent negative impact on the grid, it is necessary to schedule charging processes. This charging scheduling should not only utilize the existing charging infrastructure and the available resources, but it should furthermore allow an optimized charging schedule, e.g. in terms of cost reduction. This scheduling problem is complex and it needs significant information about infrastructure and fleet in order to create a viable charging schedule. However, not all of the relevant information is always available. For this reason, this paper analysis the possibilities to create a charging schedule with missing information. To achieve this, the paper provides a detailed description of the charging scheduling problem for a day ahead planning and the necessary input parameters. It clarifies the influence of the input parameters on the viability and optimality of a charging schedule. On this base, the paper establishes data sets with different degrees of scheduling possibilities. Further, the paper analyses the affectation of missing input parameters on the scheduling and it provides possible solutions to approximate the missing parameters under the proposition to guarantee the viability of a charging schedule.

MobilEuropan Campus Rottal-Inn

Zeitschriftenartikel

Katerina Volchek, A. Liu, H. Song, D. Buhalis

Forecasting tourist arrivals at attractions: Search engine empowered methodologies

Tourism Economics, vol. 25, no. 3, pp. 425-447

2019

DOI: 10.1177/1354816618811558

Abstract anzeigen

Tourist decision to visit attractions is a complex process influenced by multiple factors of individual context. This study investigates how the accuracy of tourism demand forecasting can be improved at the micro level. The number of visits to five London museums is forecast and the predictive powers of Naïve I, seasonal Naïve, seasonal autoregressive moving average, seasonal autoregressive moving average with explanatory variables, SARMAX-mixed frequency data sampling and artificial neural network models are compared. The empirical findings extend understanding of different types of data and forecasting algorithms to the level of specific attractions. Introducing the Google Trends index on pure time-series models enhances the forecasts of the volume of arrivals to attractions. However, none of the applied models outperforms the others in all situations. Different models’ forecasting accuracy varies for short- and long-term demand predictions. The application of higher frequency search query data allows for the generation of weekly predictions, which are essential for attraction- and destination-level planning.