Marcus Voß
Marcus Voß
DAI Labor (TU Berlin)
Verified email at dai-labor.de - Homepage
Title
Cited by
Cited by
Year
A common approach to intelligent energy and mobility services in a smart city environment
M Lützenberger, N Masuch, T Küster, D Freund, M Voß, CE Hrabia, ...
Journal of Ambient Intelligence and Humanized Computing 6 (3), 337-350, 2015
152015
Residential short-term load forecasting using convolutional neural networks
M Voß, C Bender-Saebelkampf, S Albayrak
2018 IEEE International Conference on Communications, Control, and Computing …, 2018
142018
Towards a holistic approach for problems in the energy and mobility domain
M Lützenberger, N Masuch, T Küster, J Keiser, D Freund, M Voß, ...
Procedia Computer Science 32, 780-787, 2014
122014
Forecasting driving behavior to enable efficient grid integration of plug-in electric vehicles
C Goebel, M Voß
2012 IEEE Online Conference on Green Communications (GreenCom), 74-79, 2012
122012
Short-term probabilistic load forecasting at low aggregation levels using convolutional neural networks
A Elvers, M Voß, S Albayrak
2019 IEEE Milan PowerTech, 1-6, 2019
72019
Adjusted feature-aware k-nearest neighbors: Utilizing local permutation-based error for short-term residential building load forecasting
M Voß, A Haja, S Albayrak
2018 IEEE International Conference on Communications, Control, and Computing …, 2018
62018
The Impact of Electric Vehicles on Low Voltage Grids: A Case Study of Berlin
M Draz, M Voß, D Freund, S Albayrak
2018 Power Systems Computation Conference (PSCC), 1-7, 2018
62018
Adaptive multi-stage optimisation for EV charging integration into smart grid control
CE Hrabia, T Küster, M Voß, FDP Pardo, S Albayrak
International Conference on Principles and Practice of Multi-Agent Systems …, 2015
52015
Applying heuristics and stochastic optimization for load-responsive charging in a smart grid architecture
T Küster, M Lützenberger, M Voß, D Freund, S Albayrak
IEEE PES Innovative Smart Grid Technologies, Europe, 1-6, 2014
52014
Subgradient methods for averaging household load profiles under local permutations
M Voß, B Jain, S Albayrak
2019 IEEE Milan PowerTech, 1-6, 2019
22019
Integration of Building Inertia Thermal Energy Storage into Smart Grid Control
JF Heinekamp, M Voß, S Krutzsch, F Sick, K Strunz, S Albayrak
2020 International Conference on Smart Energy Systems and Technologies (SEST …, 2020
12020
Permutation-Based Residential Short-term Load Forecasting in the Context of Energy Management Optimization Objectives
M Voss
Proceedings of the Eleventh ACM International Conference on Future Energy …, 2020
12020
Application Independent Flexibility Assessment and Forecasting for Controlled EV Charging.
M Voß, M Wilhelm, S Albayrak
SMARTGREENS, 108-119, 2018
12018
Review of Low-Voltage Load Forecasting: Methods, Applications, and Recommendations
S Haben, S Arora, G Giasemidis, M Voss, DV Greetham
arXiv preprint arXiv:2106.00006, 2021
2021
Generalized Additive Modeling of Building Inertia Thermal Energy Storage for Integration Into Smart Grid Control
M Voss, JF Heinekamp, S Krutzsch, F Sick, S Albayrak, K Strunz
IEEE Access 9, 71699-71711, 2021
2021
Demonstration of Finger Tracking Using Capacitive Sensing with a Ring
M Wilhelm, JP Lechler, D Krakowczyk, S Albayrak
Proceedings of the 25th International Conference on Intelligent User …, 2020
2020
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