Workshop Program
For the conference program, please refer to this link.
Venue information:
- Workshops: ADELE (nHow 5), AI-DEEDS (nHow 4), CAEF (nHow 3), EDA (nHow 3), EnergySP (nHow 5), E2DC (nHow 2)
- Reception (NHow hotel - Rotterdam)
- Main conference (nHow 6+7)
- Banquet (Wereldmuseum Rotterdam)
ADELE @ nHow 5
Workshop Keynote: Integrating Weather and Energy Systems in the Era of Weather Foundation Models
Dan Wang (Hong Kong Polytechnic University)
Reinforcement Learning with Partially Defined Rewards and Human Feedback for Energy Efficiency Recommendations
Spiros Chadoulos (Athens University of Economics and Business and Plegma Labs); Iordanis Koutsopoulos, George Polyzos (Athens University of Economics and Business); Nikolaos Ipiotis (Plegma Labs)
Improving Demand Response Programs Using Override Signals with Reinforcement Learning
Sharath Ram Kumar (Universite Grenoble-Alpes); Arvind Easwaran (Nanyang Technological University); Benoit Delinchant, Remy Rigo-Mariani (Universite Grenoble-Alpes)
Efficient Multi-Objective Optimisation for Real-World Power Grid Topology Control
Yassine El Manyari, Anton Robert Fuxjaeger, Stefan Zahlner (enliteAI); Joost van Dijk (TenneT TSO); Alberto Castagna (enliteAI); Davide Barbieri, Jan Viebahn (TenneT TSO); Marcel Wasserer (enliteAI)
Multi-objective Reinforcement Learning for Smart Heating Controller (Poster Presentation)
Florence Carton (Total Energies)
Cover Me: Mitigating Multi-Agent System Failure through Reinforcement Learning—A Technology Demonstration
Eric Veith, Arlena Wellßow, Torben Logemann, Emilie Frost (Carl von Ossietzky Universität Oldenburg)
AI-DEEDS @ nHow 4
Opening Remarks
Philippe Wyder
A Holistic Approach to AI in Smart Buildings: From Reasoning to Real-Time Control
John Sipple
Innovating Sustainable and Energy-Efficient Buildings through AI, Big Data, and Automation: A Living Laboratory for Research
Ali Malkawi
Poster Session
10:45 AM — 11:45 PM CEST
College as a Living Lab: Building Energy Optimization in the Curriculum
Victoria Dean
AI for Energy: Data-efficient and explainable algorithms to exploit energy flexibility
Chris Develder
Contributed talks
1:45 PM — 3:45 PM CEST
Closing Remarks
Judah Goldfeder
Networking
4 PM — 5 PM CEST
CAEF @ nHow 3
Invited Talk: Energy flexibility through the lens of submodularity
Martijn Schoot Uiterkamp (Tilburg University)
Augmented Pre-trained Graph Neural Networks for Grid-Supportive Flexibility Control
Simon Grafenhorst, Gökhan Demirel, Kevin Förderer, Veit Hagenmeyer (KIT)
FlexiDigital: A Comprehensive Approach to Energy Flexibility Services using Digital Twins and Large Language Models
Adam Jatowt, Sashko Ristov, Philipp Gritsch, Simon Brandacher (University of Innsbruck); Peter Rosengren (Checkwatt AB); Danilo Valerio (Siemens AG); Fengji Luo (University of Sydney)
Invited Talk: Why energy flexibility is becoming increasingly important for data centers and its customers
Mente J. Konsman , Bram van der Waaij (TNO, Netherlands)
Shapley value-based cost allocation for Battery Energy Storage Systems in Power Grids with a High Share of Renewables
Rebecca Bauer, Xinliang Dai, Frederik Zahn, Veit Hagenmeyer (KIT)
Uncertainty-Aware Flexibility Requirements Disaggregation
Michael Lechl, Hermann de Meer (University of Passau)
EDA @ nHow 3
Keynote: Privacy versus Utility in Energy Data Use Cases: a Precarious Trade-off
Dominik Engel (FH Salzburg, Austria)
Talk 1: Reducing Imbalance Energy by Spatial Balance Area Forecasting
Jonathan Kolar, Matthias Hertel, Stefan Meisenbacher, Ralf Mikut, Veit Hagenmeyer (KIT)
Talk 2: Are Time Series Foundation models good for Energy Anomaly Detection?
Basu Hela, Praveen Prasad Handigol, Pandarasamy Arjunan (Indian Institute of Science)
Talk 3: Improvement of electricity consumption model using variables constructed by zero-shot labelling on social media data
Muhammad Salman Shahid (Université Grenoble Alpes); Pierre Cauchois, Anne De Moliner (Enedis - France); Benoit Delinchant (Université Grenoble Alpes)
Physics-Informed vs. Deep Learning: Indoor Temperature Prediction with Different Data Availability
Maria Adelaide Loffa, Enrico Macii, Edoardo Patti, Lorenzo Bottaccioli (Politecnico di Torino)
Practical Insights from Implementing Event-Based NILM Systems
Justus Breyer, Jonas Koerhuis (RWTH Aachen University); Muhammad Hamad Alizai (LUMS); Klaus Wehrle (RWTH Aachen University)
Rapidly Trainable Large-Scale Probabilistic Heat Pump Load Forecasting: A Kernel Density Estimation Approach
Leo Semmelmann (KIT); Tobias Brudermueller (ETH Zurich)
Synthetic Power Network Topology Generation with Geographical Information
Yulin Song, Han Yan (The Chinese University of Hong Kong, Shenzhen); Chenxi Sun (Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen); Jianwei Huang (The Chinese University of Hong Kong, Shenzhen)
THERMODSET: Anomaly-Free and Open-Source Dataset for Thermal Modeling
Robert Basmadjian (UM6P College of Computing); Niima Es-Sakali (Green Energy Park); Saad Tachrimant (UM6P College of Computing)
Training Size Matters: Impact of Training Data Size on Electrical Load Forecasting
Stepan Gagin, Alexander Tekles, Hermann de Meer (University of Passau)
Talk 4: HEAPO - An Open Dataset for Heat Pump Optimization with Smart Electricity Meter Data and On-Site Inspection Protocols
Tobias Brudermueller (ETH Zurich); Elgar Fleisch (ETH Zurich and University of St. Gallen); Marina González Vayá (Elektrizitätswerke des Kantons Zürich); Thorsten Staake (University of Bamberg and ETH Zurich)
Talk 5: Day-Ahead Bidding Strategies for Wind Farm Operators Under a One-Price Balancing Scheme
Max Bruninx, Timothy Verstraeten (Vrije Universiteit Brussel); Jalal Kazempour (Technical University of Denmark); Jan Helsen (Vrije Universiteit Brussel)
Talk 6: Copula-based Probabilistic Prediction of Grid Frequency Dynamics
Bolin Liu (KIT); Maximilian Koblenz (Ludwigshafen University of Business and Society); Oliver Grothe (KIT)
Closing Session
EnergySP @ nHow 5
Attacks on the Siemens S7 Protocol Using an Industrial Control System Testbed
Nicolai Kellerer, Gustavo Sánchez, Hermenegildo Alberto, Veit Hagenmeyer, Ghada Elbez (KIT)
Physical Impact Analysis of Cyberattacks on Inverter-based Consumer Energy Resources
Sarah Maria Engel, Kaibin Bao, Arman A. Attar, Richard Rudolph, Veit Hagenmeyer (KIT)
Charging Communication Sniffing and Man-in-the-Middle Attacks
Lukas Eder, Jakob Löw, Hans-Joachim Hof (Technische Hochschule Ingolstadt)
Advanced Persistent Threats on Consumer Energy Resources in Decentralized Energy Systems
Kaibin Bao (KIT); Sid Chi-Kin Chau (CSIRO); Ghada Elbez, Qi Liu, Veit Hagenmeyer (KIT)
Identifying key attacks on an IEEE 9-Bus System by leveraging the MITRE ATTCK ICS Matrix
Marius Biebel, Zhao Song, Thomas Schreck, Christoph Hackl (Munich University of Applied Sciences)
Intelligent Data Refinement and Analysis of Real-World Cyber Attacks on SCADA Systems
Wenlu Zhang, Ryan Ko, Naipeng Dong, Guangdong Bai, Taejun Choi (University of Queensland)
A Forensic Analysis Framework for Industrial Control Systems
Alexios Karagiozidis, Martin Gergeleit (University of Applied Sciences RheinMain)
Insights and Lessons Learned from a Realistic Smart Grid Testbed for Cybersecurity Research
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 (KIT)
Detecting Energy Theft Attacks on an Off-Grid Charging Station
Anatolii Khalin, Jean-François Lalande, Romain Bourdais (CentraleSupélec)
Privacy-preserving Self-organization in Algorithmic-level Decomposed Predictive Scheduling
Jörg Bremer, Sebastian Lehnhoff (University of Oldenburg)
Anomaly detection in distributed electrical measurements using F-tests on a distribution grid model
Christian Dausel Jensen, Jakob Gulddahl Rasmussen, Rasmus Olsen (Aalborg University); Somesh Bhattacharya (GridData GmbH); Hans-Peter Schwefel (Aalborg University & GridData GmbH)
Solving Chance-Constrained AC-OPF Problem by Neural Network with Bisection-based Projection
Enming Liang, Min Zhou, Jiawei Zhao, (City University of Hong Kong); Minghua Chen (Chinese University of Hong Kong, Shenzhen & City University of Hong Kong)
E2DC @ nHow 2
Keynote: Can Optical Computing Solve the AI Data Centre Energy Challenge
Philip Burr (Lumai, UK)
AI-assisted Stochastic Optimization for GPU Data Centers Lifecycle Planning
Chengyi Nie (Stony Brook University); Anna Xing (Ward Melville High School); Zhenhua Liu (Stony Brook University)
Energy-Efficient Inference on RNN and LLM networks: A Quantized Evaluation on RISC-V, ARM, and x86 Devices
Daniel Suárez, Pedro Toledo, Vicente Blanco, Francisco Almeida (Universidad de La Laguna)
Keynote: The friendly neighbor
Stefan Nilsson (Conapto, SE)
Sustainable, Situation-Aware Multi Objective Spatial Load Scheduling for Data Centers
Jonas Schiller, Marco Pruckner (University of Würzburg)
Carbon-Aware Workload Management in Data Centers: A Multi-Energy Integration Approach
Beltus Wiysobunri Nkwawir, M. Ozgur Kayalica, Denizhan Guven (Istanbul Technical University); A. Can Duman (Turkish–German University); Hamza Salih Erden (Istanbul Technical University)
Talk: Introduction and balance between the ISO/IEC 30134 KPI’s
Arjan Westerhoff (ISO/IEC 30134-9 WUE lead, NL)
Panel Discussion: What Metrics Matter for Sustainable AI Infrastructure?
Evaluating the Energy Efficiency of Toubkal HPC: Insights for the Green500 Rankings and Its Metric
Imad Kissami, Robert Basmadjian, Ayman Zahir (Mohammed VI Polytechnic University)
Energy Data Center Monitoring and Management with EAR
Julita Corbalan, Luigi Brochard, Jalal Lakhlili, Marco d’Amico, Oriol Vidal (Energy Aware Solutions); Jordi Aneas (Barcelona Supercomputing Center)
Talk: MISD project
Maikel Bouricius, Andy Young (Asperitas, NL)
Transient Thermal Airflow Simulations of Data Centers Using Multiple GPUs
Johannes Sjölund, Anna-Lena Ljung (Luleå Tekniska Universitet); Jon Summers (Research Institutes of Sweden)
Talk: Heatwise project
Cagatay Yilmaz (Research Institutes of Sweden)
Talk: DC2Heat project
Marcel Meyer (Universität Paderborn)
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