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Michael Kramer
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Year
Thermohydraulic model of Smart Thermal Grids with bidirectional power flow between prosumers
T Licklederer, T Hamacher, M Kramer, VS Perić
Energy 230, 120825, 2021
232021
A model predictive control approach for demand side management of residential power to heat technologies
M Kramer, A Jambagi, V Cheng
2016 IEEE International Energy Conference (ENERGYCON), 2016
202016
Residential electricity demand modelling Activity based modelling for a model with high time and spatial resolution
A Jambagi, M Kramer, V Cheng
2015 3rd International Renewable and Sustainable Energy Conference (IRSEC), 2016
152016
Electricity and heat sector coupling for domestic energy systems: Benefits of integrated energy system modelling
A Jambagi, M Kramer, V Cheng
2015 International Conference on Smart Cities and Green ICT Systems …, 2015
122015
An opc ua-based energy management platform for multi-energy prosumers in districts
D Bytschkow, A Capone, J Mayer, M Kramer, T Licklederer
2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), 1-5, 2019
102019
a, Tort ABL, and Kopell NJ,“Sharp edge artifacts and spurious coupling in EEG frequency comodulation measures.,”
M Kramer
J. Neurosci. Methods 170 (2), 352-7, 2008
102008
Energy storage within a multi-energy carrier optimisation framework
A Jambagi, M Kramer, V Cheng
2016 IEEE International Energy Conference (ENERGYCON), 2016
72016
Distributed model predictive control for building energy systems in distribution grids
M Kramer, A Jambagi, V Cheng
2017 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), 2017
42017
Bottom-up Modeling of Residential Heating Systems for Demand Side Management in District Energy System Analysis and Distribution Grid Planning
M Kramer, A Jambagi, V Cheng
Proceedings of the 15th IBPSA Conference, San Francisco, CA, USA, Aug. 7-9 …, 2017
42017
Validation of RC Building Models for Applications in Energy and Demand Side Management
R Kuniyoshi, M Kramer, M Lindauer
Proceedings of eSim, 9-10, 2018
32018
Hierarchical Distributed Control to Integrate Prosumer Flexibility in Smart Grids
MA Kramer
Technische Universität München, 2021
12021
Sector Coupling with Optimization: A comparison between single buildings and combined quarters
L Heidemann, D Bytschkow, A Capone, T Licklederer, M Kramer
Abstracts from the 8th DACH+ Conference on Energy Informatics, 29-33, 2019
12019
Aggregationsplattform zur gebäudeübergreifenden Optimierung der Energieeffizienz; Teilvorhaben: Modellierung, Optimierung und Simulation Energiesysteme: Schlussbericht der …
T Licklederer, J Meyer, D Bytschkow, V Ahuir, D Birkeneder, A Capone, ...
Technische Universität München, 2022
2022
Abschlussbericht „Multi-Energie Management und Aggregationsplattform (MEMAP)“der TU München
T Licklederer, J Mayer, D Bytschkow, V Ahuir, D Birkeneder, A Capone, ...
Technische Universität München, Munich School of Engineering …, 2022
2022
ESOSEG-Environment for Simulation, Operation and Optimization of Smart Energy Grids: Verbundvorhaben ESOSEG: Teilvorhaben: Domänenanalyse und Methodenentwicklung …
D Ascher, HK Gidey, D Marmsoler, M Kramer, A Jambagi
Technische Universität München, 2019
2019
Entwicklung eines Analyseframeworks zur Unterstützung der Verteilnetzbetreiber im Projekt ESOSEG
M Kramer, D Bytschkow, D Ascher, V Koutsoumpas, A Jambagi, M Irlbeck
VDE-Kongress 2016 - Internet der Dinge, 2016
2016
A study of building thermal models for use in the analysis of energy sector coupling
C Ben Ammar, V Cheng, M Kramer
8th International Scientific Conference on Energy and Climate Change, 2015
2015
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