Thermohydraulic model of Smart Thermal Grids with bidirectional power flow between prosumers T Licklederer, T Hamacher, M Kramer, VS Perić Energy 230, 120825, 2021 | 31 | 2021 |
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 | 20 | 2016 |
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 | 16 | 2016 |
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 | 15 | 2015 |
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 | 11 | 2019 |
Energy storage within a multi-energy carrier optimisation framework A Jambagi, M Kramer, V Cheng 2016 IEEE International Energy Conference (ENERGYCON), 2016 | 7 | 2016 |
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 | 5 | 2017 |
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 | 4 | 2018 |
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 | 4 | 2017 |
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 | 2 | 2019 |
A Digital Platform for Smart Multi-Energy Management in Districts: Conceptualization, Modeling, Software Implementation and Laboratory Validation T Licklederer, J Mayer, D Bytschkow, M Kramer, A Capone, J Burger, ... manuscript submitted to'Energy Conversion and Management'on 03/08/2023, 2024 | 1 | 2024 |
Hierarchical Distributed Control to Integrate Prosumer Flexibility in Smart Grids MA Kramer Technische Universität München, 2021 | 1 | 2021 |
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 |
A Digital Platform for Real-Time Multi-Energy Management in Districts Using Opc Ua: Conceptualization, Modeling, Software Implementation, and Laboratory Validation T Licklederer, J Mayer, D Bytschkow, M Kramer, A Capone, J Burger, ... Modeling, Software Implementation, and Laboratory Validation, 0 | | |