Conference Program

• Wednesday, June 18th, 2025 @ nHow 6+7

• 8:30 AM — 9 AM CEST

• ACM e-Energy Opening / Welcome Session

• 9 AM — 10 AM CEST

• Keynote 1 - The Delicate Art of Modelling Electricity Resource Adequacy

  Speaker: Derek Bunn, Session Chair: Eric Veith

• 10 AM — 10:30 AM CEST

• Coffee break

• 10:30 AM — 12 PM CEST

• Paper Session A: Low-Carbon Systems and Fault Detection

  Session Chair: Chenye Wu

• Learning-Augmented Online Control for Decarbonizing Water Infrastructures

  Jianyi Yang (University of Houston); Pengfei Li (UC Riverside); Tongxin Li (The Chinese University of Hong Kong, Shenzhen); Adam Wierman (Caltech); Shaolei Ren (UC Riverside)

  Full Paper

• ElectricityEmissions.jl: A Framework for the Comparison of Carbon Intensity Signals

  Joseph Gorka (University of Wisconsin-Madison, Department of Electrical and Computer Engineering); Noah Rhodes (Los Alamos National Laboratory); Line Roald (University of Wisconsin-Madison, Department of Electrical and Computer Engineering)

  Full Paper

• Lost in Siting: The Hidden Carbon Cost of Inequitable Residential Solar Installations

  Cooper Sigrist, Adam Lechowicz (University of Massachusetts Amherst); Jovan Champ (University of Hartford); Noman Bashir (Massachusetts Institute of Technology); Mohammad Hajiesmaili (University of Massachusetts Amherst)

  Full Paper

• Aging-aware CPU Core Management for Embodied Carbon Amortization in Cloud LLM Inference

  Tharindu B. Hewage (University of Melbourne); Shashikant Ilager (University of Amsterdam); Maria Rodriguez Read, Rajkumar Buyya (University of Melbourne)

  Full Paper

• Wind Turbine Fault Classification Based on Reconstruction Errors of SCADA Data

  Michael Eichelbeck (Technical University of Munich); Max Adam, Kenneth Laureys, Milena Zurmühl (BayWa r.e.); Matthias Althoff (Technical University of Munich)

  Notes Paper

• 12 PM — 1 PM CEST

• Lunch

• 1 PM — 3:15 PM CEST

• Paper Session B: Smart and Secure Grids

  Session Chair: Eric Veith

• Learning for Sustainable Online Scheduling with Competitive Fairness Guarantees

  Pengfei Li (UC Riverside); Nicolas Christianson (Caltech); Jianyi Yang (University of Houston); Adam Wierman (Caltech); Shaolei Ren (UC Riverside)

  Full Paper

• Cost-effective Closed-loop Bilevel Robust Optimization for Joint Chance-constrained Economic Dispatch

  Chenbei Lu (Tsinghua University); Jinhao Liang (University of Virginia); Hongyu Yi, Chenye Wu (The Chinese University of Hong Kong, Shenzhen)

  Full Paper

• PISR: Physics-Informed Symbolic Regression for Predicting Power System Voltage

  Sebastian Eichhorn, Anurag Mohapatra, Christoph Goebel (Technical University of Munich)

  Full Paper

• A General Approach of Automated Environment Design for Learning the Optimal Power Flow

  Thomas Wolgast, Astrid Nieße (Carl von Ossietzky Universität Oldenburg)

  Full Paper

• DSML: A Comprehensive Framework for Evaluating ML Methods for Distribution System State Estimation

  Theodor Haug (Forschungsstelle für Energiewirtschaft e.V., Technische Universität München); Christoph Goebel (Technische Universität München)

  Full Paper

• Destabilizing Power Grid and Energy Market by Cyberattacks on Smart Inverters

  Xiangyu Hui, Samuel Karumba, Sid Chi-Kin Chau (CSIRO Data61); Mohi AHMED (Edith Cowan University)

  Full Paper

• Leveraging Data Plane Programmability Towards a Policy-driven In-Network Security Framework for Industrial Control Systems

  Reuben Samson Raj, Dong Jin (University of Arkansas)

  Full Paper

• 3:15 PM — 3:30 PM CEST

• Coffee break

• 3:30 PM — 5 PM CEST

• Poster/Demo Session @ nHow 6

  Session Chair: Elham Shirazi

• A Deep Reinforcement Learning- and Linear Programming-based Hierarchical Aggregation Framework for Demand-side Flexibility

  Ren Sasaki, Zhao Dafang, Hiroki Nishikawa, Ittetsu Taniguchi, Takao Onoye (The University of Osaka)

  Poster

• Multi-Time Scale Energy Management for Efficient Residential Energy Use with Electric Water Heaters

  Shuhei Mitsunaga, Zhao Dafang, Hiroki Nishikawa, Ittetsu Taniguchi, Takao Onoye (The University of Osaka)

  Poster

• Tight and Compact MILP Models for Storage Operation and Unit Commitment

  Maaike B. Elgersma (Delft University of Technology); Germán Morales-España (Delft University of Technology, TNO); Karen I. Aardal, Mathijs M. de Weerdt (Delft University of Technology)

  Poster

• Interfacing process-aware Intrusion Detection for distributed energy sources with DEMKit

  Verena Menzel (University of Twente); Paul Dirksen, Anne Remke (University of Münster)

  Poster

• A FIWARE based digital twin for high performance computing centers

  Jonathan Kriwet, Christian Wassermann, Rita Streblow, Dirk Müller (RWTH Aachen University)

  Poster

• Open In-Context Energy Management Platform

  Yikai Lu, Tinko Sebastian Bartels, Ruixiang Wu, Fanzeng Xia, Xudong Wang, Yifei Wu, Haoxiang Yang, Tongxin Li (The Chinese University of Hong Kong, Shenzhen)

  Demo

• Ramp Rate Control for PV Systems Using Solar Irradiance Forecasting with Wavelet Transform and LSTM

  Koki Iwabuchi, Zhao Dafang, Ittetsu Taniguchi (The University of Osaka); Francky Catthoor (NTU Athens); Takao Onoye (The University of Osaka)

  Poster

• EnergySHR: A platform for energy dataset sharing and communications

  Alicia Julia Wilson Takaoka, Zaman Ziabakhshganji, Yashar Ghiassi-Farrokhfal, Farshad Radman, Jos van Dongen (Erasmus University Rotterdam)

  Demo

• Optimizing Electricity Procurement for Smart Charging

  Linda Punt, Yashar Ghiassi-Farrokhfal (Erasmus University); Gar Goei Loke (Durham University Business School)

  Poster

• Robustness in Multi-Agent Energy Systems: The Trade-Off between Decentralization and Security

  Emilie Frost (Carl von Ossietzky University of Oldenburg); Afia Afrin (University of Alberta); Astrid Nieße (Carl von Ossietzky Universität Oldenburg); Omid Ardakanian (University of Alberta)

  Poster

• Jointly Trading Energy and Flexibility Based on FlexOffers and Blockchain

  Laurynas Siksnys (FlexShape and Aalborg University); Torben Bach Pedersen (Aalborg University and FlexShape)

  Poster

• Towards Accurately Explaining Battery Behavior: Learning the Parameters of Analytical Battery Models

  Lisa Willemsen (University of Twente); Anne Remke (University of Münster); Johann Hurink (University of Twente)

  Poster

• Masquerading IEC 61850 GOOSE Protocol: Cyber‐Physical Experiments and Detection

  Hermenegildo Alberto, Gustavo Sánchez (KIT); Jean Marie Dembele (University Gaston Berger of Saint Louis (UGB)); Idy Diop (Ecole Supérieure Polytechnique (ESP/UCAD)); Ghada Elbez, Veit Hagenmeyer (KIT)

  Poster

• Embedding Temporal Awareness in Reinforcement Learning Models for Energy System Control

  Amirhossein Heydarian Ardakani, Johann Hurink, Ian Gibson, Elham Shirazi (University of Twente)

  Poster

• Probabilistic Forecast of EV Charging Demand using Quantile Regression and LSTM with Attention Mechanism

  Silvana Matrone (Politecnico di milano); Amirhossein Heydarian Ardakani (University of Twente); Emanuele Ogliari (Politecnico di milano); Elham Shirazi (University of Twente); Sonia Leva (Politecnico di milano)

  Poster

• Fine-Grained Mapping of Urban Energy Demand During Heatwaves

  Andrea Domiter, Srinivasan Keshav (University of Cambridge)

  Poster

• Enhancing Situational Awareness in Smart Grids through Event Correlation for ATT&CK Mapping

  Sine Canbolat Kaya, Ghada Elbez, Veit Hagenmeyer (KIT)

  Poster

• Fast Optimal Sizing of Domestic PV Energy Systems

  Julia Gschwind (ETH Zurich); Srinivasan Keshav (University of Cambridge)

  Poster

• PyPESOL: The Python P2P Energy Sharing Optimization Library

  Romaric Duvignau, Vincenzo Gulisano, Marina Papatriantafilou (Chalmers University of Technology and University of Gothenburg)

  Poster

• 5 PM — 6:30 PM CEST

• Award Presentations

  Session Chair: Dan Wang

• SIGEnergy Doctoral Dissertation Award: Physics-Informed Machine Learning for Green Data Center Operations

  Ruihang Wang (Nanyang Technological University)

• SIGEnergy Rising Star Award: From Sensors to Scale: A Decade of Energy Disaggregation Research

  Nipun Batra (IIT Gandhinagar)

• Thursday, June 19th, 2025 @ nHow 6+7

• 8:30 AM — 9:30 AM CEST

• Keynote 2 - The Role of AI in the Energy Transition: Can AI Power the Shift to a Fossil-Free Future?

  Speaker: Íngrid Munné-Collado, Session Chair: Eric Veith

• 9:30 AM — 10 AM CEST

• Coffee break

• 10 AM — 12 PM CEST

• Paper Session C: Energy Forecasting and Machine Learning

  Session Chair: Omid Ardakanian

• Hierarchical Techniques to Forecast Joint Price-Volume Distributions of Intraday, Continuous Power Markets

  Naveen Kumar Thokala, Basheer Ragimanu, Venkatesh Sarangan, Mohan Raj Velayudhan Kumar (TCS Research, Tata Consultancy Services Ltd)

  Notes Paper

• Mix-BEATS: Mixer-enhanced Basis Expansion Analysis for Load Forecasting

  Anuj Kumar, Harish Kumar Saravanan, Shivam Dwivedi, Pandarasamy Arjunan (Indian Institute of Science)

  Notes Paper

• Energy-Efficient Short-Term Load Forecasting for Responsive Demand-Side Analytics for the European Electricity Market

  Martin Moesmann, Subina Khanal, Torben Bach Pedersen (Aalborg University)

  Full Paper

• Selective-HeatFlex: Selective Forecasting of Heat Pump Flexibility using Model Confidence

  Jonas Brusokas, Fabio Lilliu (Aalborg University); Seshu Tirupathi (IBM Research Ireland); Torben Bach Pedersen (Aalborg University)

  Full Paper

• Probabilistic and Explainable Machine Learning for Tabular Power Grid Data

  Alexandra Nikoltchovska, Sebastian Pütz, Xiao Li, Veit Hagenmeyer, Benjamin Schäfer (Karlsruhe Institute of Technology)

  Full Paper

• Resilient Reinforcement Learning based Home Energy Management System

  Dariush Hosseini (Technical University of Munich (TUM)); Ulrich Ludolfinger (University of Applied Sciences Landshut); Thomas Hamacher (Technical University of Munich (TUM)); Maren Martens (University of Applied Sciences Landshut)

  Full Paper

• Analyzing the Impact of Dynamic Tariff Adoption and Regulatory Options on Distribution Grids with an Open-Source Framework

  Leo Semmelmann (Karlsruher Institut für Technologie (KIT)); Katharina Kaiser, Anya Heider (Eidgenössische Technische Hochschule Zürich (ETH)); Kevin J. Kircher (Purdue University); Gabriela Hug (Eidgenössische Technische Hochschule Zürich (ETH)); Christof Weinhardt (Karlsruher Institut für Technologie (KIT))

  Full Paper

• 12 PM — 1 PM CEST

• Lunch

• 1 PM — 2:35 PM CEST

• Paper Session D: Distributed Energy Resources

  Session Chair: Veit Hagenmayer

• Uncertainty-Aware Scheduling of Multi-Use Battery Storage Systems

  Michael Lechl, Alexander Kilian, Hermann de Meer (University of Passau)

  Full Paper

• Assessing the Flexibility Potential of Small-Scale Distributed Battery Storage Systems Under Distribution Network Constraints: A Case Study for Germany

  Tim Fürmann (University of Freiburg); Michael Lechl (University of Passau); Ramiz Qussous (University of Freiburg); Hermann de Meer (University of Passau); Anke Weidlich (University of Freiburg)

  Full Paper

• Continuous Intraday Trading: An Open-Source Multi-Market Bidding Framework for Energy Storage Systems

  Kim K. Miskiw, Jan Niklas Ludwig, Leo Semmelmann, Christof Weinhardt (Karlsruher Institut für Technologie (KIT))

  Full Paper

• [Best Paper Candidate] A First Look at Node-Level Curtailment of Renewable Energy and its Implications

  Diptyaroop Maji, David Irwin (University of Massachusetts, Amherst); Prashant Shenoy (University of Massachusetts Amherst); Ramesh K Sitaraman (UMass Amherst & Akamai Tech)

  Full Paper

• Optimizing Electric Vehicle Scheduling with Charging Guarantees using Flow Models with Local Penalties

  Leoni Winschermann (University of Twente); Mario Günzel (TU Dortmund University); Kuan-Hsun Chen, Johann Hurink (University of Twente)

  Full Paper

• 2:35 PM — 3 PM CEST

• Coffee break

• 3 PM — 5 PM CEST

• Paper Session E: Smart Buildings

  Session Chair: Hartmut Schmeck

• On the Impact of Simulated Occupancy Behavior Assumptions on Reinforcement Learning for HVAC Controls

  Ozan Baris Mulayim (Carnegie Mellon University); Mario Bergés (Carnegie Mellon University & Amazon)

  Notes Paper

• [Best Paper Candidate] GenTL: A General Transfer Learning Model for Building Thermal Dynamics

  Fabian Raisch (Technical University of Munich); Thomas Krug (Technical University of Applied Sciences Rosenheim); Christoph Goebel (Technical University of Munich); Benjamin Tischler (Technical University of Applied Sciences Rosenheim)

  Full Paper

• Mitigating Thermal Discomfort in Multiple Occupancy Work Spaces: Frugal Approaches Unite

  Gopinath Karmakar (Pillai College of Engineering, Panvel); Puneet Panwar (Bhabha Atomic Research Centre); Krithi Ramamritham (IIT Bombay)

  Notes Paper

• Machine Learning for Building-Level Heat Risk Mapping

  Andrea Domiter, Srinivasan Keshav (University of Cambridge)

  Notes Paper

• [Best Paper Candidate] Decision-Focused Learning for Complex System Identification: HVAC Management System Application

  Pietro Favaro, Jean-François Toubeau, François Vallée (University of Mons); Yury Dvorkin (Johns Hopkins University)

  Full Paper

• Human-in-the-Loop AI for HVAC Management Enhancing Comfort and Energy Efficiency

  Xinyu Liang, Frits de Nijs, Buser Say, Hao Wang (Monash University)

  Full Paper

• Online Comfort-Constrained HVAC Control via Feature Transfer

  Jing Yu (University of Michigan); Tianyu Zhang (Autodesk Research); Omid Ardakanian (University of Alberta); Adam Wierman (Caltech)

  Full Paper

• Friday, June 20th, 2025 @ nHow 6+7

• 8:30 AM — 9:30 AM CEST

• Keynote 3 - Hints on Doing Research

  Speaker: Srinivasan Keshav, Session Chair: Eric Veith

• 9:30 AM — 10 AM CEST

• Coffee break

• 10 AM — 12 PM CEST

• Paper Session F: Energy Efficiency and Software

  Session Chair: Hermann De Meer

• Revisiting CPU Performance Scaling for Energy-Efficient Packet Processing

  Biqing Qiu, Yixi Chen, Xin Zhe Khooi (National University of Singapore); Cha Hwan Song (Samsung Electronics); Mun Choon Chan (National University of Singapore)

  Full Paper

• [Best Notes Paper Candidate] StoreLLM: Energy Efficient Large Language Model Inference with Permanently Pre-stored Attention Matrices

  Dan Wang, Boan Liu, Rui Lu, Zhaorui Zhang, Shuntao Zhu (The Hong Kong Polytechnic Univeristy)

  Notes Paper

• [Best Notes Paper Candidate] Energy-efficient LLM Training in GPU datacenters with Immersion Cooling Systems

  Shuntao Zhu, Dan Wang (The Hong Kong Polytechnic University)

  Notes Paper

• Carbon-Aware Quality Adaptation for Energy-Intensive Services

  Philipp Wiesner (Technische Universität Berlin); Dennis Grinwald, Philipp Weiß, Patrick Wilhelm (Technische Universität Berlin & BIFOLD); Ramin Khalili (Huawei Technologies); Odej Kao (Technische Universität Berlin)

  Notes Paper

• Boosting the Performance of Deep Reinforcement Learning for Energy Management Systems using Behavior Cloning from Linear Programming Solutions

  Sheng Yin (Kempten University of Applied Sciences); Christoph Goebel (Technical University of Munich); Holger Hesse (Kempten University of Applied Sciences)

  Full Paper

• e-SparX: A Graph-Based Artifact Exchange Platform to Accelerate Machine Learning Research in the Energy Systems Community

  Annika Schneider, Lukas Schüttler, Jan Marco Ruiz de Vargas, Michael Eichelbeck, Christoph Goebel (Technical University of Munich)

  Notes Paper

• Ten Recommendations for Engineering Research Software in Energy Research

  Stephan Ferenz, Emilie Frost, Rico Schrage, Thomas Wolgast (Carl von Ossietzky Universität Oldenburg); Inga Beyers (Leibniz University Hanover, Institute of Electric Power Systems); Oliver Karras (TIB - Leibniz Information Centre for Science and Technology); Oliver Werth (OFFIS - Institute for Information Technology); Astrid Nieße (Carl von Ossietzky Universität Oldenburg)

  Full Paper

• 12 PM — 1 PM CEST

• Lunch

• 1 PM — 2:30 PM CEST

• Paper Session G: Energy Systems and Grids

  Session Chair: Sid Chau

• Centrally Coordinated Multi-Agent Reinforcement Learning for Power Grid Topology Control

  Barbera de Mol (EDMij B.V.); Davide Barbieri, Jan Viebahn (TenneT TSO); Davide Grossi (University of Groningen)

  Full Paper

• A Framework for Assessing the Generalizability of GNN-Based AC Power Flow Models

  Ehimare Okoyomon, Christoph Goebel (Technical University of Munich)

  Full Paper

• Performance of Krylov solvers for gas networks

  Buu-Van Nguyen, Johan Romate, Cornelis Vuik (Delft University of Technology, Delft Institute of Mathematics, Numerical Analysis)

  Notes Paper

• Smart Grid Assistive AI in Requirement Engineering: Improving the Modeling of Use Cases and Architecture Models with LLMs

  René Kuchenbuch, Sebastian Lehnhoff (OFFIS – Institute for Information Technology); Jürgen Sauer (University of Oldenburg)

  Notes Paper

• Data Sharing between Wind Energy Producers: Economic Incentives and Strategic Behavior

  Jan Marco Ruiz de Vargas, Annika Schneider (Technical University of Munich); Pierre Pinson (Imperial College London, Dyson School of Design Engineering, London, UK); Christoph Goebel (Technische Universität München)

  Notes Paper

• 2:30 PM — 3 PM CEST

• Coffee break

• 3 PM — 5 PM CEST

• Paper Session H: Demand-side Management

  Session Chair: Christoph Goebel

• Assessing Electricity Customers Using Procurement Cost Metrics: A Data-Driven Framework for Modeling Tariff-Driven Behavior

  Robin Derzbach, Christoph Flath (University of Würzburg)

  Full Paper

• Optimizing Individualized Incentives from Grid Measurements and Limited Knowledge of Agent Behavior

  Adam Lechowicz (National Renewable Energy Laboratory & University of Massachusetts Amherst); Joshua Comden, Andrey Bernstein (National Renewable Energy Laboratory)

  Full Paper

• Community Detection in Energy Networks based on Energy Self-Sufficiency and Dynamic Flexibility Activation

  Philipp Danner, Hermann de Meer (University of Passau)

  Full Paper

• Scalable Supply and Demand Matching Involving Up-to-Date Information from Individual Prosumers

  René Glebke, Maximilian Winck (Communication and Distributed Systems, RWTH Aachen University); Stefan Lenz (Security and Privacy in Industrial Cooperation, RWTH Aachen University); Mirko Stoffers, Klaus Wehrle (Communication and Distributed Systems, RWTH Aachen University)

  Full Paper

• [Best Notes Paper Candidate] Large Language Model Interface for Home Energy Management Systems

  François Michelon (Ecole Centrale de Nantes); Yihong Zhou (University of Edinburgh); Thomas Morstyn (Oxford University)

  Notes Paper

• EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting

  Leyi Yan, Linda Wang, Sihang Liu (University of Waterloo); Yi Ding (Purdue University)

  Notes Paper

• 5 PM — 5:30 PM CEST

• Closing

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