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2020 – today
- 2023
[j1]Markus Eider, Bernhard Sick, Andreas Berl:
Context-aware recommendations for extended electric vehicle battery lifetime. Sustain. Comput. Informatics Syst. 37: 100845 (2023)- 2021
- [c8]Nicki Bodenschatz, Markus Eider, Andreas Berl:
Challenges and Requirements of Electric Vehicle Fleet Charging at Company Parking Sites. ACIT 2021: 623-628 - [c7]Markus Eider, Nicki Bodenschatz, Andreas Berl:
Evaluation of Machine Learning Algorithms for the Prediction of Simulated Company Parking Space Occupancy. ACIT 2021: 739-743 - 2020
- [c6]Markus Eider, Andreas Berl:
Requirements for Prescriptive Recommender Systems Extending the Lifetime of EV Batteries. ACIT 2020: 412-417 - [c5]Nicki Bodenschatz, Markus Eider, Andreas Berl:
Mixed-Integer-Linear-Programming Model for the Charging Scheduling of Electric Vehicle Fleets. ACIT 2020: 741-746
2010 – 2019
- 2018
- [c4]Nicki Bodenschatz, Diana Schramm, Markus Eider, Andreas Berl:
Classification of Electric Vehicle Fleets Considering the Complexity of Fleet Charging Schedules. e-Energy 2018: 447-449 - [c3]Markus Eider, Andreas Berl:
Dynamic EV Battery Health Recommendations. e-Energy 2018: 586-592 - 2017
- [c2]Markus Eider, Diana Sellner, Andreas Berl, Robert Basmadjian, Hermann de Meer, Sonja Klingert
, Thomas Schulze, Florian L. Kutzner, Celina Kacperski, Michal Stolba:
Seamless Electromobility. e-Energy 2017: 316-321 - 2016
- [c1]Markus Eider, Stefan Kunze, Rainer Poeschl:
FPGA based emulation of multiple 1-wire sensors for hardware in the loop tests. SAS 2016: 1-6
Coauthor Index
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