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ORCID16th e-Energy 2025: Rotterdam, The Netherlands
- Proceedings of the 16th ACM International Conference on Future and Sustainable Energy Systems, E-Energy 2025, Rotterdam, The Netherlands, June 17-20, 2025. ACM 2025, ISBN 979-8-4007-1125-1
Paper Session A: Low-Carbon Systems and Fault Detection
- Jianyi Yang
, Pengfei Li, Tongxin Li, Adam Wierman, Shaolei Ren:
Learning-Augmented Online Control for Decarbonizing Water Infrastructures. 1-18 - Joseph Gorka, Noah Rhodes, Line Roald:
ElectricityEmissions.jl: A Framework for the Comparison of Carbon Intensity Signals. 19-30 - Cooper Sigrist, Adam Lechowicz, Jovan Champ, Noman Bashir, Mohammad Hajiesmaili:
Lost in Siting: The Hidden Carbon Cost of Inequitable Residential Solar Installations. 31-42 - Tharindu B. Hewage, Shashikant Ilager, Maria Rodriguez Read, Rajkumar Buyya:
Aging-aware CPU Core Management for Embodied Carbon Amortization in Cloud LLM Inference. 43-55 - Michael Eichelbeck, Max Adam, Kenneth Laureys, Milena Zurmühl, Matthias Althoff:
Wind Turbine Fault Classification Based on Reconstruction Errors of SCADA Data. 56-62
Paper Session B: Smart and Secure Grids
- Pengfei Li, Nicolas Christianson, Jianyi Yang, Adam Wierman, Shaolei Ren:
Learning for Sustainable Online Scheduling with Competitive Fairness Guarantees. 63-79 - Chenbei Lu, Jinhao Liang, Hongyu Yi, Chenye Wu:
Cost-effective Closed-loop Bilevel Robust Optimization for Joint Chance-constrained Economic Dispatch. 80-91 - Sebastian Eichhorn, Anurag Mohapatra, Christoph Goebel:
PISR: Physics-Informed Symbolic Regression for Predicting Power System Voltage. 92-107 - Thomas Wolgast, Astrid Nieße:
A General Approach of Automated Environment Design for Learning the Optimal Power Flow. 108-121 - Theodor Haug, Christoph Goebel:
DSML: A Comprehensive Framework for Evaluating ML Methods for Distribution System State Estimation. 122-135 - Xiangyu Hui, Samuel Karumba, Sid Chi-Kin Chau, Mohiuddin Ahmed:
Destabilizing Power Grid and Energy Market by Cyberattacks on Smart Inverters. 136-151 - Reuben Samson Raj, Dong Jin:
Leveraging Data Plane Programmability Towards a Policy-driven In-Network Security Framework for Industrial Control Systems. 152-163
Paper Session C: Energy Forecasting and Machine Learning
- Naveen Kumar Thokala, Basheer Ahammad Ragimanu, Venkatesh Kumar Sarangan, Mohan Raj Velayudhan Kumar:
Hierarchical Techniques to Forecast Joint Price-Volume Distributions of Intraday, Continuous Power Markets. 164-168 - Anuj Kumar, Harish Kumar Saravanan, Shivam Dwivedi, Pandarasamy Arjunan:
Mix-BEATS: Mixer-enhanced Basis Expansion Analysis for Load Forecasting. 169-176 - Martin Moesmann, Subina Khanal, Torben Bach Pedersen:
Energy-Efficient Short-Term Load Forecasting for Responsive Demand-Side Analytics for the European Electricity Market. 177-190 - Jonas Brusokas, Fabio Lilliu, Seshu Tirupathi, Torben Bach Pedersen:
Selective-HeatFlex: Selective Forecasting of Heat Pump Flexibility using Model Confidence. 191-207 - Leyi Yan, Linda Wang, Sihang Liu, Yi Ding:
EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting. 208-212 - Alexandra Nikoltchovska, Sebastian Pütz, Xiao Li, Veit Hagenmeyer, Benjamin Schäfer:
Probabilistic and Explainable Machine Learning for Tabular Power Grid Data. 213-231 - Dariush Hosseini, Ulrich Ludolfinger, Thomas Hamacher, Maren Martens:
A Resilient Reinforcement Learning based Home Energy Management System. 232-242
Paper Session D: Distributed Energy Resources
- Michael Lechl, Alexander Kilian, Hermann de Meer:
Uncertainty-Aware Scheduling of Multi-Use Battery Storage Systems. 243-256 - Tim Fürmann, Michael Lechl, Ramiz Qussous, Hermann de Meer, Anke Weidlich:
Assessing the Flexibility Potential of Small-Scale Distributed Battery Storage Systems Under Distribution Network Constraints: A Case Study for Germany. 257-276 - Kim K. Miskiw, Jan Ludwig, Leo Semmelmann, Christof Weinhardt:
Continuous Intraday Trading: An Open-Source Multi-Market Bidding Framework for Energy Storage Systems. 277-292 - Diptyaroop Maji, David E. Irwin, Prashant J. Shenoy, Ramesh K. Sitaraman:
A First Look at Node-Level Curtailment of Renewable Energy and its Implications. 293-304 - Leoni Winschermann, Mario Günzel, Kuan-Hsun Chen, Johann L. Hurink:
Optimizing Electric Vehicle Scheduling with Charging Guarantees using Flow Models with Local Penalties. 305-316
Paper Session E: Smart Buildings
- Ozan Baris Mulayim, Mario Bergés:
On the Impact of Simulated Occupancy Behavior Assumptions on Reinforcement Learning for HVAC Controls. 317-321 - Fabian Raisch, Thomas Krug, Christoph Goebel, Benjamin Tischler:
GenTL: A General Transfer Learning Model for Building Thermal Dynamics. 322-333 - Gopinath Karmakar, Puneet Panwar, Krithi Ramamritham:
Mitigating Thermal Discomfort in Multiple Occupancy Work Spaces: Frugal Approaches Unite. 334-340 - Andrea Domiter, Srinivasan Keshav:
Machine Learning for Building-Level Heat Risk Mapping. 341-346 - Pietro Favaro, Jean-François Toubeau, François Vallée, Yury Dvorkin:
Decision-Focused Learning for Complex System Identification: HVAC Management System Application. 347-358 - Xinyu Liang, Frits de Nijs, Buser Say, Hao Wang:
Human-in-the-Loop AI for HVAC Management Enhancing Comfort and Energy Efficiency. 359-370 - Jing Yu, Tianyu Zhang, Omid Ardakanian, Adam Wierman:
Online Comfort-Constrained HVAC Control via Feature Transfer. 371-384
Paper Session F: Energy Efficiency and Software
- Biqing Qiu, Yixi Chen, Xin Zhe Khooi, Cha Hwan Song, Mun Choon Chan:
Revisiting CPU Performance Scaling for Energy-Efficient Packet Processing Applications. 385-397 - Dan Wang, Boan Liu, Rui Lu, Zhaorui Zhang, Shuntao Zhu:
StoreLLM: Energy Efficient Large Language Model Inference with Permanently Pre-stored Attention Matrices. 398-406 - Shuntao Zhu, Dan Wang:
Energy-efficient LLM Training in GPU datacenters with Immersion Cooling Systems. 407-414 - Philipp Wiesner, Dennis Grinwald, Philipp Weiß, Patrick Wilhelm, Ramin Khalili, Odej Kao:
Carbon-Aware Quality Adaptation for Energy-Intensive Services. 415-422 - Sheng Yin, Christoph Goebel, Holger Hesse:
Boosting the Performance of Deep Reinforcement Learning for Energy Management Systems using Behavior Cloning from Linear Programming Solutions. 423-435 - Annika Schneider, Lukas Schüttler, Jan Marco Ruiz de Vargas, Michael Eichelbeck, Christoph Goebel:
e-SparX: A Graph-Based Artifact Exchange Platform to Accelerate Machine Learning Research in the Energy Systems Community. 436-445 - Stephan Ferenz, Emilie Frost, Rico Schrage, Thomas Wolgast, Inga Beyers, Oliver Karras, Oliver Werth, Astrid Nieße:
Ten Recommendations for Engineering Research Software in Energy Research. 446-459
Paper Session G: Energy Systems and Grids
- Barbera de Mol, Davide Barbieri, Jan Viebahn, Davide Grossi:
Centrally Coordinated Multi-Agent Reinforcement Learning for Power Grid Topology Control. 460-475 - Ehimare Okoyomon, Christoph Goebel:
A Framework for Assessing the Generalizability of GNN-Based AC Power Flow Models. 476-488 - Buu-Van Nguyen, Johan Romate, Cornelis Vuik:
Performance of Krylov solvers for gas networks. 489-494 - René Kuchenbuch, Sebastian Lehnhoff, Jürgen Sauer:
Smart Grid Assistive AI in Requirement Engineering: Improving the Modeling of Use Cases and Architecture Models with LLMs. 495-504 - Jan Marco Ruiz de Vargas, Annika Schneider, Pierre Pinson, Christoph Goebel:
Data Sharing between Wind Energy Producers: Economic Incentives and Strategic Behavior. 505-514
Paper Session H: Demand-side Management
- Leo Semmelmann, Katharina Kaiser, Anya Heider, Kevin J. Kircher, Gabriela Hug, Christof Weinhardt:
Analyzing the Impact of Dynamic Tariff Adoption and Regulatory Options on Distribution Grids with an Open-Source Framework. 515-533 - Robin Thomas Derzbach, Christoph Michael Flath:
Assessing Electricity Customers Using Procurement Cost Metrics: A Data-Driven Framework for Modeling Tariff-Driven Behavior. 534-543 - Adam Lechowicz, Joshua Comden, Andrey Bernstein:
Optimizing Individualized Incentives from Grid Measurements under Limited Knowledge of Agent Behavior. 544-563 - Philipp Danner, Hermann de Meer:
Community Detection in Energy Networks based on Energy Self-Sufficiency and Dynamic Flexibility Activation. 564-576 - René Glebke, Maximilian Winck, Stefan Lenz, Mirko Stoffers, Klaus Wehrle:
Scalable Supply and Demand Matching Involving Up-to-Date Information from Individual Prosumers. 577-589 - François Michelon, Yihong Zhou, Thomas Morstyn:
Large Language Model Interface for Home Energy Management Systems. 590-602
Workshop Papers: The 1st International Workshop on Advanced Deep Reinforcement Learning for Energy Systems (ADELE 2025)
- Sharath Ram Kumar, Arvind Easwaran, Benoit Delinchant, Remy Rigo-Mariani:
Improving Demand Response Programs Using Override Signals with Reinforcement Learning. 603-611 - Eric M. S. P. Veith, Arlena Wellßow, Torben Logemann, Emilie Frost:
Cover Me: Mitigating Multi-Agent System Failure through Reinforcement Learning - A Technology Demonstration. 612-613 - Yassine El Manyari, Anton Robert Fuxjäger, Stefan Zahlner, Joost van Dijk, Alberto Castagna, Davide Barbieri, Jan Viebahn, Marcel Wasserer:
Efficient Multi-Objective Optimisation for Real-World Power Grid Topology Control. 614-621 - Spiros Chadoulos, Iordanis Koutsopoulos, George C. Polyzos, Nikolaos Ipiotis:
Reinforcement Learning with Partially Defined Rewards and Human Feedback for Energy Efficiency Recommendations. 622-631
The 1st International Workshop on Computational Aspects of Energy Flexibility (CAEF 2025)
- Michael Lechl, Hermann de Meer:
Uncertainty-Aware Flexibility Requirements Disaggregation. 632-637 - Adam Jatowt, Sashko Ristov, Philipp Gritsch, Simon Brandacher, Peter Rosengren, Danilo Valerio, Fengji Luo:
FlexiDigital: A Comprehensive Approach to Energy Flexibility Services using Digital Twins and Large Language Models. 638-643 - Simon Grafenhorst, Gökhan Demirel, Kevin Förderer, Veit Hagenmeyer:
Augmented Pre-trained Graph Neural Networks for Grid-Supportive Flexibility Control. 644-649 - Rebecca Bauer, Xinliang Dai, Frederik Zahn, Veit Hagenmeyer:
Shapley value-based cost allocation for Battery Energy Storage Systems in Power Grids with a High Share of Renewables. 650-655
The 6th International Workshop on Energy Data and Analytics (EDA 2025)
- Basu Hela, Praveen Prasad Handigol, Pandarasamy Arjunan:
Are Time Series Foundation models good for Energy Anomaly Detection? 656-665 - Jonathan Kolar, Matthias Hertel, Stefan Meisenbacher, Ralf Mikut, Veit Hagenmeyer:
Reducing Imbalance Energy by Spatial Balance Area Forecasting. 666-676 - Stepan Gagin, Alexander Tekles, Hermann de Meer:
Training Size Matters: Impact of Training Data Size on Electrical Load Forecasting. 677-686 - Muhammad Salman Shahid, Pierre Cauchois, Anne de Moliner, Benoit Delinchant:
Improvement of electricity consumption model using variables constructed by zero-shot labelling on social media data. 687-698 - Tobias Brudermueller, Elgar Fleisch, Marina González Vayá, Thorsten Staake:
HEAPO - An Open Dataset for Heat Pump Optimization with Smart Electricity Meter Data and On-Site Inspection Protocols. 699-711 - Yulin Song, Han Yan, Chenxi Sun, Jianwei Huang:
Synthetic Power Network Topology Generation with Geographical Information. 712-718 - Max Bruninx, Timothy Verstraeten, Jalal Kazempour, Jan Helsen:
Day-Ahead Bidding Strategies for Wind Farm Operators Under a One-Price Balancing Scheme. 719-726 - Leo Semmelmann, Tobias Brudermueller:
Rapidly Trainable Large-Scale Probabilistic Heat Pump Load Forecasting: A Kernel Density Estimation Approach. 727-732 - Bolin Liu, Maximilian Coblenz, Oliver Grothe:
Copula-based Probabilistic Prediction of Grid Frequency Dynamics. 733-741 - Maria Adelaide Loffa, Enrico Macii, Edoardo Patti, Lorenzo Bottaccioli:
Physics-Informed vs. Deep Learning: Indoor Temperature Prediction with Different Data Availability. 742-750 - Justus Breyer, Jonas Koerhuis, Muhammad Hamad Alizai, Klaus Wehrle:
Practical Insights from Implementing Event-Based NILM Systems. 751-756 - Robert Basmadjian, Niima Es-Sakali, Saad Tachrimant:
THERMODSET: Anomaly-Free and Open-Source Dataset for Thermal Modeling. 757-769
ACM SIGEnergy Workshop on Cybersecurity and Privacy of Energy Systems (EnergySP 2025)
- Nicolai Kellerer, Gustavo Sánchez, Hermenegildo Alberto, Veit Hagenmeyer, Ghada Elbez:
Attacks on the Siemens S7 Protocol Using an Industrial Control System Testbed. 770-779 - Alexios Karagiozidis, Martin Gergeleit:
A Forensic Analysis Framework for Industrial Control Systems. 780-790 - Marius Biebel, Zhao Song, Thomas Schreck, Christoph M. Hackl:
Identifying key attacks on an IEEE 9-Bus System by leveraging the MITRE ATT&CK ICS Matrix. 791-798 - Lukas Eder, Jakob Löw, Hans-Joachim Hof:
Charging Communication Sniffing and Man-in-the-Middle Attacks. 799-804 - Ghada Elbez, Gustavo Sánchez, Sine Canbolat, Sophie Corallo, Clemens Fruböse, Florian Lanzinger, Nicolai Kellerer, Gustav Keppler, Felix Neumeister, Bernhard Beckert, Anne Koziolek, Martina Zitterbart, Veit Hagenmeyer:
Insights and Lessons Learned from a Realistic Smart Grid Testbed for Cybersecurity Research. 805-812 - Anatolii Khalin, Jean-François Lalande, Romain Bourdais:
Detecting Energy Theft Attacks on an Off-Grid Charging Station. 813-819 - Sarah Maria Engel, Kaibin Bao, Arman Aghaei Attar, Richard Rudolph, Veit Hagenmeyer:
Physical Impact Analysis of Cyberattacks on Inverter-based Consumer Energy Resources. 820-829 - Jörg Bremer, Sebastian Lehnhoff:
Privacy-preserving Self-organization in Algorithmic-level Decomposed Predictive Scheduling. 830-837 - Kaibin Bao, Sid Chi-Kin Chau, Ghada Elbez, Qi Liu, Veit Hagenmeyer:
Advanced Persistent Threats on Consumer Energy Resources in Decentralized Energy Systems. 838-845 - Wenlu Zhang, Naipeng Dong, Taejun Choi, Guangdong Bai, Ryan K. L. Ko:
Intelligent Data Refinement and Analysis of Real-World Cyber Attacks on SCADA Systems. 846-852 - Christian Dausel Jensen, Jakob Gulddahl Rasmussen, Rasmus Løvenstein Olsen, Somesh Bhattacharya, Hans-Peter Schwefel:
Anomaly detection in distributed electrical measurements using F-tests on a distribution grid model. 853-863 - Enming Liang, Min Zhou, Jiawei Zhao, Minghua Chen:
Solving Chance-Constrained AC-OPF Problem by Neural Network with Bisection-based Projection. 864-869
13th International Workshop on Energy-Efficient Data Centres (E2DC 2025)
- Chengyi Nie, Anna Xing, Imran Latif, Zhenhua Liu:
AI-assisted Stochastic Optimization for GPU Data Centers Lifecycle Planning. 870-873 - Jonas Schiller, Marco Pruckner:
Sustainable, Situation-Aware Multi Objective Spatial Load Scheduling for Data Centers. 874-881 - Daniel Suárez, Pedro A. Toledo, Vicente Blanco, Francisco Almeida:
Energy-Efficient Inference on RNN and LLM networks: A Quantized Evaluation on RISC-V, ARM, and x86 Devices. 882-889 - Johannes Sjölund, Anna-Lena Ljung, Jon Summers:
Transient Thermal Airflow Simulations of Data Centers Using Multiple GPUs. 890-897 - Imad Kissami, Robert Basmadjian, Ayman Zahir:
Evaluating the Energy Efficiency of Toubkal HPC: Insights for the Green500 Rankings and Its Metric. 898-906 - Beltus Wiysobunri Nkwawir, Mehmet Özgür Kayalica, Denizhan Guven, A. Can Duman, Hamza Salih Erden:
Carbon-Aware Workload Management in Data Centers: A Multi-Energy Integration Approach. 907-914 - Julita Corbalán, Luigi Brochard, Jalal Lakhlili, Marco D'Amico, Oriol Vidal, Jordi Aneas:
Energy Data Center Monitoring and Management with EAR. 915-920
Workshop: AI-Driven Energy Efficiency in Dynamic Systems (AI-DEEDS 2025)
- Elvin Ko:
Temperature Prediction with Feature Engineering and Multiple Regression: Smart Buildings Hackathon Submission. 921-923 - Zixin Jiang, Xuezheng Wang, Bing Dong:
Physics-Informed Modularized Neural Networks for Building Dynamic Modeling: A Smart Buildings Hackathon Case Study. 924-927 - Millend Roy, Vladimir Pyltsov, Ruturaj Godse, Tony Dear:
Dynamic Incentive Design for Demand Response in Energy System MicroGrids. 928-935 - Joris Depoortere, Hussain Syed Kazmi, Johan Driesen:
Using value-oriented forecasting to optimize PV battery system operation. 936-940 - Gabriel Guerra Trigo:
Predicting Building Zone Air Temperatures using XGBoost and Feature Engineering: A Smart Buildings Challenge Submission. 941-943 - Zoltán Nagy, Kingsley Nweye:
The CityLearn Challenge: Four Years of Advancing Common Task Frameworks for Energy Management in Smart Buildings. 944-948 - Matthew Kerr, Bianca Howard:
Simulator Accuracy Requirements for RL-Based Building Temperature Control. 949-953 - Sajeda Mokbel, Christian Lagemann, Esther Lagemann, Steven L. Brunton:
Controlling chaotic energy events in fluids with reinforcement learning. 954-958 - Vaibhav Sourirajan:
SeqCast: Sequence-Based Forecasting of Temperature Distribution in Smart Buildings. 959-961 - Aniket Dixit, Faizan Ahmed, James Brusey:
Reinforcement Learning for Building Control: Direct Actuator or PI-Mediated Control? 962-967 - Toon Van Puyvelde, Mehran Zareh Eshghdoust, Chris Develder:
Interpretable reinforcement learning for heat pump control through asymmetric differentiable decision trees. 968-972
Poster Abstracts
- Ren Sasaki, Dafang Zhao, Hiroki Nishikawa, Ittetsu Taniguchi, Takao Onoye:
A Deep Reinforcement Learning- and Linear Programming-based Hierarchical Aggregation Framework for Demand-side Flexibility. 973-975 - Shuhei Mitsunaga, Dafang Zhao, Hiroki Nishikawa, Ittetsu Taniguchi, Takao Onoye:
Multi-Time Scale Energy Management for Efficient Residential Energy Use with Electric Water Heaters. 976-978 - Maaike B. Elgersma, Germán Morales-España, Karen I. Aardal, Mathijs Michiel de Weerdt:
Tight and Compact MILP Models for Storage Operation and Unit Commitment. 979-980 - Verena Menzel, Paul Dirksen, Anne Remke:
Interfacing process-aware Intrusion Detection for distributed energy sources with DEMKit. 981-982 - Jonathan Kriwet, Christian Wassermann, Rita Streblow, Dirk Müller:
A FIWARE based digital twin for high performance computing centers. 983-984 - Yikai Lu, Tinko Sebastian Bartels, Ruixiang Wu, Fanzeng Xia, Xudong Wang, Yifei Wu, Haoxiang Yang, Tongxin Li:
Open In-Context Energy Management Platform. 985-986 - Koki Iwabuchi, Dafang Zhao, Ittetsu Taniguchi, Francky Catthoor, Takao Onoye:
Ramp Rate Control for PV Systems Using Solar Irradiance Forecasting with Wavelet Transform and LSTM. 987-988 - Zaman Ziabakhshganji, Mathijs de Weerdt, Sreeparna Deb, Caroline Duterloo, Yashar Ghiassi-Farrokhfal, Doron Gollnast, Jhon Jairo Quinones-Cortes, Alicia Julia Wilson Takaoka, Farshad Radman, Simon H. Tindemans, Jos van Dongen:
EnergySHR: A platform for energy dataset sharing and communications. 989-991 - Linda Punt, Yashar Ghiassi-Farrokhfal, Gar Goei Loke:
Optimizing Electricity Procurement for Smart Charging. 992-993 - Emilie Frost, Afia Afrin, Astrid Nieße, Omid Ardakanian:
Robustness in Multi-Agent Energy Systems: The Trade-Off between Decentralization and Security. 994-995 - Laurynas Siksnys, Torben Bach Pedersen:
Jointly Trading Energy and Flexibility Based on FlexOffers and Blockchain. 996-997 - Lisa Willemsen, Anne Remke, Johann L. Hurink:
Towards Accurately Explaining Battery Behavior: Learning the Parameters of Analytical Battery Models. 998-999 - Hermenegildo da Conceição Alberto, Gustavo Sánchez, Jean Marie Dembele, Idy Diop, Ghada Elbez, Veit Hagenmeyer:
Masquerading IEC 61850 GOOSE Protocol: Cyber-Physical Experiments and Detection. 1000-1001 - Amirhossein Heydarian Ardakani, Johann L. Hurink, Ian Gibson, Elham Shirazi:
Embedding Temporal Awareness in Reinforcement Learning Models for Energy System Control. 1002-1004 - Silvana Matrone, Amirhossein Heydarian Ardakani, Emanuele Ogliari, Elham Shirazi, Sonia Leva:
Probabilistic Forecast of EV Charging Demand using Quantile Regression and LSTM with Attention Mechanism. 1005-1007 - Andrea Domiter, Srinivasan Keshav:
Fine-Grained Mapping of Urban Energy Demand During Heatwaves. 1008-1009 - Sine Canbolat Kaya, Ghada Elbez, Veit Hagenmeyer:
Enhancing Situational Awareness in Smart Grids through Event Correlation for ATT&CK Mapping. 1010-1011 - Julia Olivia Gschwind, Srinivasan Keshav:
Fast Optimal Sizing of Domestic PV Energy Systems✱. 1012-1013 - Romaric Duvignau, Vincenzo Gulisano, Marina Papatriantafilou:
PyPESOL: The Python P2P Energy Sharing Optimization Library. 1014-1015
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