Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
portfolio
publications
CoSES Laboratory for Combined Energy Systems At TU Munich
Published in , 2020
CoSES Laboratory for Combined Energy Systems At TU Munich
2020 IEEE Power & Energy Society General Meeting (PESGM), 2020
Recommended citation: V. Peric, T. Hamacher, A. Mohapatra, F. Christange, D. Zinsmeister, P. Tzscheutschler, U. Wagner, C. Aigner, R. Witzmann. "CoSES Laboratory for Combined Energy Systems At TU Munich". 2020 IEEE Power & Energy Society General Meeting (PESGM), 2020.
Formal Verification of Grid Frequency Controllers
Published in , 2021
Formal Verification of Grid Frequency Controllers
Proceedings of 2021 IEEE PES Innovative Smart Grid Technologies Europe, Espoo, 2021
Recommended citation: A. Mohapatra, V. Peric, T. Hamacher. "Formal Verification of Grid Frequency Controllers". Proceedings of 2021 IEEE PES Innovative Smart Grid Technologies Europe, Espoo, 2021.
IoT Integration for Combined Energy Systems at the CoSES Laboratory
Published in , 2021
IoT Integration for Combined Energy Systems at the CoSES Laboratory
Proceedings of 7th IEEE World Forum on Internet of Things, WF-IoT 2021, 2021
Recommended citation: M. Mayer, A. Mohapatra, V. Peric. "IoT Integration for Combined Energy Systems at the CoSES Laboratory". Proceedings of 7th IEEE World Forum on Internet of Things, WF-IoT 2021, 2021.
Fast harmonic analysis for PHIL experiments with decentralized real-time controllers
Published in , 2022
Fast harmonic analysis for PHIL experiments with decentralized real-time controllers
Electric Power Systems Research, 2022
Recommended citation: E. Sezgin, A. Mohapatra, T. Hamacher, Ö. Salor, V. Perić. "Fast harmonic analysis for PHIL experiments with decentralized real-time controllers". Electric Power Systems Research, 2022.
PHIL Infrastructure in CoSES Microgrid Laboratory
Published in , 2022
PHIL Infrastructure in CoSES Microgrid Laboratory
Proceedings of 2022 IEEE PES Innovative Smart Grid Technologies Conference Europe, Novi Sad, 2022
Recommended citation: A. Mohapatra, T. Hamacher, V. Peric. "PHIL Infrastructure in CoSES Microgrid Laboratory". Proceedings of 2022 IEEE PES Innovative Smart Grid Technologies Conference Europe, Novi Sad, 2022.
PHIL implementation of a decentralized online OPF for active distribution grids
Published in , 2022
PHIL implementation of a decentralized online OPF for active distribution grids
Proceedings of IEEE Power and Energy Society General Meeting 2022, Denver, 2022
Recommended citation: M. Cornejo, A. Mohapatra, S. Candas, V. Peric. "PHIL implementation of a decentralized online OPF for active distribution grids". Proceedings of IEEE Power and Energy Society General Meeting 2022, Denver, 2022.
M-Class PMU for General Purpose Embedded Controllers in NI Veristand Environment
Published in , 2023
M-Class PMU for General Purpose Embedded Controllers in NI Veristand Environment
Proceedings of 2023 IEEE Belgrade PowerTech, 2023
Recommended citation: A. Mohapatra, S. Büttner, G. Bumiller, T. Hamacher, V. Perić. "M-Class PMU for General Purpose Embedded Controllers in NI Veristand Environment". Proceedings of 2023 IEEE Belgrade PowerTech, 2023.
Optimization-based framework for low-voltage grid reinforcement assessment under various levels of flexibility and coordination
Published in , 2023
Optimization-based framework for low-voltage grid reinforcement assessment under various levels of flexibility and coordination
Applied Energy, 2023
Recommended citation: S. Candas, B. Reveron Baecker, A. Mohapatra, T. Hamacher. "Optimization-based framework for low-voltage grid reinforcement assessment under various levels of flexibility and coordination". Applied Energy, 2023.
Consideration of round-trip electric car-sharing in residential energy system modeling
Published in , 2024
Consideration of round-trip electric car-sharing in residential energy system modeling
Proceedings of 2024 IEEE PES Innovative Smart Grid Technologies Europe, Dubrovnik, 2024
Recommended citation: A. Mohapatra, J. Achatz, T. Hamacher. "Consideration of round-trip electric car-sharing in residential energy system modeling". Proceedings of 2024 IEEE PES Innovative Smart Grid Technologies Europe, Dubrovnik, 2024.
Low-Voltage Grid Control Based On Data-Driven State Estimation and Reinforcement Learning
Published in , 2024
Low-Voltage Grid Control Based On Data-Driven State Estimation and Reinforcement Learning
2024 IEEE Power \& Energy Society General Meeting (PESGM), 2024
Recommended citation: H. \"Ozlemiş, E. Mora, J. Schubert, A. Mohapatra, M. Duckheim, S. Niessen. "Low-Voltage Grid Control Based On Data-Driven State Estimation and Reinforcement Learning". 2024 IEEE Power \& Energy Society General Meeting (PESGM), 2024.
Power-hardware-in-the-loop validation of air-source heat pump for fast frequency response applications
Published in , 2024
Power-hardware-in-the-loop validation of air-source heat pump for fast frequency response applications
Electric Power Systems Research, 2024
Recommended citation: R. Song, A. Mohapatra, T. Hamacher, V. Perić. "Power-hardware-in-the-loop validation of air-source heat pump for fast frequency response applications". Electric Power Systems Research, 2024.
A Reproducible Open-Data Pipeline for Synthetic Low-Voltage Grid Generation in Germany
Published in PESS 2025; IEEE Power and Energy Student Summit, 2025
A Reproducible Open-Data Pipeline for Synthetic Low-Voltage Grid Generation in Germany
PESS 2025; IEEE Power and Energy Student Summit, 2025
Recommended citation: B. Baecker, K. Kalkan, P. Buchenberg, A. Mohapatra, T. Hamacher. "A Reproducible Open-Data Pipeline for Synthetic Low-Voltage Grid Generation in Germany". PESS 2025; IEEE Power and Energy Student Summit, 2025.
Recommended citation: B. Baecker, K. Kalkan, P. Buchenberg, A. Mohapatra, T. Hamacher. "A Reproducible Open-Data Pipeline for Synthetic Low-Voltage Grid Generation in Germany". <em>PESS 2025; IEEE Power and Energy Student Summit</em>, 2025.
Application-oriented Digital Twin for Integrated Energy System: A Review
Published in , 2025
Application-oriented Digital Twin for Integrated Energy System: A Review
manuscript under review, 2025
Recommended citation: K. Fu, A. Mohapatra, U. H\"ager, R. Tonkoski, T. Hamacher. "Application-oriented Digital Twin for Integrated Energy System: A Review". manuscript under review, 2025.
Fast, Interpretable, and Agnostic-PISR Voltage Control on a Low-Voltage Grid
Published in Authorea Preprints, 2025
Fast, Interpretable, and Agnostic-PISR Voltage Control on a Low-Voltage Grid
Authorea Preprints, 2025
Recommended citation: S. Eichhorn, A. Mohapatra, R. Tonkoski. "Fast, Interpretable, and Agnostic-PISR Voltage Control on a Low-Voltage Grid". Authorea Preprints, 2025.
Recommended citation: S. Eichhorn, A. Mohapatra, R. Tonkoski. "Fast, Interpretable, and Agnostic-PISR Voltage Control on a Low-Voltage Grid". <em>Authorea Preprints</em>, 2025.
Generation of low-voltage synthetic grid data for energy system modeling with the pylovo tool
Published in , 2025
Generation of low-voltage synthetic grid data for energy system modeling with the pylovo tool
Sustainable Energy, Grids and Networks, 2025
Recommended citation: B. Reveron Baecker, S. Candas, D. Tepe, A. Mohapatra. "Generation of low-voltage synthetic grid data for energy system modeling with the pylovo tool". Sustainable Energy, Grids and Networks, 2025.
Graph Neural Network Surrogates for Energy System Modeling
Published in , 2025
Graph Neural Network Surrogates for Energy System Modeling
accepted in 2025 IEEE ISGT Europe, 2025
Recommended citation: G. Pjetri, A. Mohapatra, B. Reveron Baecker, M. Hock, T. Hamacher. "Graph Neural Network Surrogates for Energy System Modeling". accepted in 2025 IEEE ISGT Europe, 2025.
Grid-Connected, Data-Driven Inverter Control, Theory to Hardware
Published in , 2025
Grid-Connected, Data-Driven Inverter Control, Theory to Hardware
2025 IEEE PowerTech Kiel, 2025
Recommended citation: S. Graf, K. Moffat, A. Mohapatra, A. Chiuso, F. D\"orfler. "Grid-Connected, Data-Driven Inverter Control, Theory to Hardware". 2025 IEEE PowerTech Kiel, 2025.
Integration of PV and V2G Technology in an Island Grid: A Real-Time Simulation Study of Kastellorizo
Published in PESS 2025; IEEE Power and Energy Student Summit, 2025
Integration of PV and V2G Technology in an Island Grid: A Real-Time Simulation Study of Kastellorizo
PESS 2025; IEEE Power and Energy Student Summit, 2025
Recommended citation: L. Konstantellos, A. Mohapatra, T. Kavvathas, G. Konstantopoulos, T. Hamacher. "Integration of PV and V2G Technology in an Island Grid: A Real-Time Simulation Study of Kastellorizo". PESS 2025; IEEE Power and Energy Student Summit, 2025.
Recommended citation: L. Konstantellos, A. Mohapatra, T. Kavvathas, G. Konstantopoulos, T. Hamacher. "Integration of PV and V2G Technology in an Island Grid: A Real-Time Simulation Study of Kastellorizo". <em>PESS 2025; IEEE Power and Energy Student Summit</em>, 2025.
PHIL Validation of Physics-Informed Symbolic Regression for Power System Voltage Prediction
Published in , 2025
PHIL Validation of Physics-Informed Symbolic Regression for Power System Voltage Prediction
accepted in 2025 IEEE ISGT Europe, 2025
Recommended citation: S. Eichhorn, A. Mohapatra, E. Okoyomon. "PHIL Validation of Physics-Informed Symbolic Regression for Power System Voltage Prediction". accepted in 2025 IEEE ISGT Europe, 2025.
PISR: Physics-Informed Symbolic Regression for Predicting Power System Voltage
Published in , 2025
PISR: Physics-Informed Symbolic Regression for Predicting Power System Voltage
Proceedings of the 16th ACM International Conference on Future and Sustainable Energy Systems, 2025
Recommended citation: S. Eichhorn, A. Mohapatra, C. Goebel. "PISR: Physics-Informed Symbolic Regression for Predicting Power System Voltage". Proceedings of the 16th ACM International Conference on Future and Sustainable Energy Systems, 2025.
Reinforcement Learning for Cost-Efficient Energy Management under Dynamic Pricing: CoSES Building Case Study
Published in PESS 2025; IEEE Power and Energy Student Summit, 2025
Reinforcement Learning for Cost-Efficient Energy Management under Dynamic Pricing: CoSES Building Case Study
PESS 2025; IEEE Power and Energy Student Summit, 2025
Recommended citation: Z. Nezet, M. Kazemi, C. Papadimitriou, A. Mohapatra. "Reinforcement Learning for Cost-Efficient Energy Management under Dynamic Pricing: CoSES Building Case Study". PESS 2025; IEEE Power and Energy Student Summit, 2025.
Recommended citation: Z. Nezet, M. Kazemi, C. Papadimitriou, A. Mohapatra. "Reinforcement Learning for Cost-Efficient Energy Management under Dynamic Pricing: CoSES Building Case Study". <em>PESS 2025; IEEE Power and Energy Student Summit</em>, 2025.
Surrogate Framework for Energy System Modeling
Published in , 2025
Surrogate Framework for Energy System Modeling
2025 IEEE PowerTech Kiel, 2025
Recommended citation: A. Mohapatra, M. Hock, B. Reveron Baecker, T. Hamacher. "Surrogate Framework for Energy System Modeling". 2025 IEEE PowerTech Kiel, 2025.
Towards Automatic Parameterization of Online Feedback Optimization for Autonomous Low-Voltage Distribution Grids
Published in , 2025
Towards Automatic Parameterization of Online Feedback Optimization for Autonomous Low-Voltage Distribution Grids
2025 IEEE PowerTech Kiel, 2025
Recommended citation: J. Schubert, A. Allmeta, E. Mora, A. Mohapatra, M. Duckheim, S. Niessen. "Towards Automatic Parameterization of Online Feedback Optimization for Autonomous Low-Voltage Distribution Grids". 2025 IEEE PowerTech Kiel, 2025.
Unity Game Engine as a Simulation Platform: Voltage Regulation in 3D Low-Voltage Networks
Published in PESS 2025; IEEE Power and Energy Student Summit, 2025
Unity Game Engine as a Simulation Platform: Voltage Regulation in 3D Low-Voltage Networks
PESS 2025; IEEE Power and Energy Student Summit, 2025
Recommended citation: S. Poudel, P. Ghimire, A. Mohapatra, H. Li, D. Hummels, R. Tonkoski. "Unity Game Engine as a Simulation Platform: Voltage Regulation in 3D Low-Voltage Networks". PESS 2025; IEEE Power and Energy Student Summit, 2025.
Recommended citation: S. Poudel, P. Ghimire, A. Mohapatra, H. Li, D. Hummels, R. Tonkoski. "Unity Game Engine as a Simulation Platform: Voltage Regulation in 3D Low-Voltage Networks". <em>PESS 2025; IEEE Power and Energy Student Summit</em>, 2025.
Assessing grid-oriented flexibility of heat pumps in cold periods: Evidence from 761 residential heat pumps in Southern Germany
Published in Energy, 2026
Assessing grid-oriented flexibility of heat pumps in cold periods: Evidence from 761 residential heat pumps in Southern Germany
Energy, 2026
Recommended citation: T. Haupt, M. Male, A. Mohapatra, T. Hamacher. "Assessing grid-oriented flexibility of heat pumps in cold periods: Evidence from 761 residential heat pumps in Southern Germany". Energy, 2026.
Recommended citation: T. Haupt, M. Male, A. Mohapatra, T. Hamacher. "Assessing grid-oriented flexibility of heat pumps in cold periods: Evidence from 761 residential heat pumps in Southern Germany". <em>Energy</em>, 2026.
From Co-Simulation to Composition: A Data-Driven Transformer with OLTC for Scalable Open-Source Power System Modeling
Published in 2026 Open Source Modelling and Simulation of Energy Systems (OSMSES), 2026
From Co-Simulation to Composition: A Data-Driven Transformer with OLTC for Scalable Open-Source Power System Modeling
2026 Open Source Modelling and Simulation of Energy Systems (OSMSES), 2026
Recommended citation: S. Eichhorn, D. Dullius, A. Mohapatra, R. Tonkoski. "From Co-Simulation to Composition: A Data-Driven Transformer with OLTC for Scalable Open-Source Power System Modeling". 2026 Open Source Modelling and Simulation of Energy Systems (OSMSES), 2026.
Recommended citation: S. Eichhorn, D. Dullius, A. Mohapatra, R. Tonkoski. "From Co-Simulation to Composition: A Data-Driven Transformer with OLTC for Scalable Open-Source Power System Modeling". <em>2026 Open Source Modelling and Simulation of Energy Systems (OSMSES)</em>, 2026.
Real-world self-adaptive digital twin: An example of commercial air-source heat pump
Published in Energy and AI, 2026
Real-world self-adaptive digital twin: An example of commercial air-source heat pump
Energy and AI, 2026
Recommended citation: K. Fu, U. Ganslmeier, A. Mohapatra, R. Song, T. Hamacher. "Real-world self-adaptive digital twin: An example of commercial air-source heat pump". Energy and AI, 2026.
Recommended citation: K. Fu, U. Ganslmeier, A. Mohapatra, R. Song, T. Hamacher. "Real-world self-adaptive digital twin: An example of commercial air-source heat pump". <em>Energy and AI</em>, 2026.
Deep learning surrogates for low-voltage grid planning
Published in Electric Power Systems Research, 2027
Deep learning surrogates for low-voltage grid planning
Electric Power Systems Research, 2027
Recommended citation: E. Hanser, A. Mohapatra, B. Baecker, T. Hamacher. "Deep learning surrogates for low-voltage grid planning". Electric Power Systems Research, 2027.
Recommended citation: E. Hanser, A. Mohapatra, B. Baecker, T. Hamacher. "Deep learning surrogates for low-voltage grid planning". <em>Electric Power Systems Research</em>, 2027.
talks
Harmonic estimation on decentralized real-time controllers
Published:
Can we measure power, for PHIL-grade feedback, by combining voltage and current measurements from two different controllers? We present a signal analysis method that allows synchronized controllers to share accurate measurements despite communication delays and unknown signal harmonics.
Theory to Practice: Design, Integration and Applications for an Active Distribution Grid Laboratory
Published:
How to build a realistic and collaborative testbed using real prosumers, real grid and distributed controls? I present three applications which demonstrate the effectiveness of the CoSES lab in bridging theory and practice.
PHIL Heat-pump for sector coupling experiments
Published:
We address the challenge of testing heat pumps in power system laboratories, which often lack the necessary hardware and expertise to model heat prosumers. We present a virtual heat pump on a PHIL amplifier to accurately test how heat pumps can provide grid services, like fast frequency response.
M-Class PMU on general purposed embedded controllers
Published:
We show that a standard inverter controller can become an M-Class Phasor Measurement Unit (PMU) with just a software update. This approach adds grid monitoring functions to existing hardware without needing extra wiring or instrumentation, using the controller’s available processing power.
Grid-connected, data-driven inverter control
Published:
A talk regarding our recent work with the Dörfler group at ETH Zürich. Can a purely data-driven (NOT machine learning!) controller work on a grid-connected inverter - without any knowledge of the inverter or grid dynamics?
PHIL in Sector coupling
Published:
Everybody knows what Power-Hardware-in-the-Loop (PHIL) looks like in a power systems laboratory. But can it be used in sector-coupling research? What does PHIL for the heat prosumers and grid look like?
PhyLFlex HEMS Benchmarking
Published:
This symposium talk presents benchmarking work from PhyLFlex HEMS, focusing on how home energy-management strategies can be compared consistently across experimental setups, test cases, and control objectives.
PHIL for benchmarking and heating grids
Published:
How can PHIL experiments be made useful for benchmarking across coupled electricity and heating-grid studies? This talk focuses on reproducible PHIL setups and on making results comparable across laboratories, scenarios, and controller designs.
Data-driven voltage control in distribution grids - Perspectives from Germany
Published:
This invited talk presents recent perspectives from Germany on data-driven voltage control in distribution grids, including what laboratory validation can reveal about performance, robustness, and deployment constraints in practice.
Surrogates for Energy System Modeling Frameworks
Published:
Can surrogate models make energy-system modeling frameworks faster? Well yes. But are these serious ideas? Can we do it with the amount of data we generally have in our workflows? Can we realistically scale it for the whole country? Can we make them predict voltages as well?
District Heating Systems Laboratory Infrastructure - Key features, challenges and notable examples from Europe
Published:
I just love laboratories - I find it fascinating to compare them and position them in the broader research landscape. Always know what your tool can exactly do. So, what does a useful district-heating laboratory need beyond just hardware? This invited talk highlights key infrastructure features, practical implementation challenges, and notable European examples that make district-heating labs valuable for experimental energy-systems research.
Deep Learning Surrogates For Low-Voltage Grid Expansion Planning
Published:
How can deep-learning surrogates speed up low-voltage grid expansion planning without losing the system behavior that planners care about? Can we generate such models with completely open-sourced, verifiable datasets? Even if you are not into ML, maybe just our data-generation tool is interesting all by itself - the most fun I have ever had working on an idea.
