Conference Program
For the workshop program, please refer to this link.
Venue information:
- Workshops: EnergySP (Level 4, Canary 1), E2DC (Level 4, Canary 2), SoDec (Level 4, Bluebird), SAFE-Energy (Level 4, Bluebird), EDA (Level 4, Nightingale)
- Reception (Level 4, Oriole)
- Main conference (Level 3, Galleria Ballroom)
- Banquet (Level 3, Galleria Ballroom)
Wednesday, June 5th, 2024 @ Level 3, Galleria Ballroom
Towards Environmentally Equitable AI via Geographical Load Balancing
Pengfei Li (UC Riverside), Jianyi Yang (UC Riverside), Adam Wierman (Caltech), Shaolei Ren (UC Riverside)
Full Paper
[Best notes paper candidate] A Dataset for Research on Water Sustainability
Pranjol Sen Gupta, Md Rajib Hossen, Pengfei Li, Shaolei Ren, Mohammad A. Islam
Notes Paper
Locational marginal burden: Quantifying the equity of optimal power flow solutions
Samuel Talkington, Amanda West, Rabab Haider
Full Paper
A Holistic Approach for Equity-aware Carbon Reduction of the Ridesharing Platforms
Mahsa Sahebdel (University of Massachusetts Amherst), Ali Zeynali (University of Massachusetts Amherst), Noman Bashir (Massachusetts Institute of Technology), Prashant Shenoy (University of Massachusetts Amherst), Mohammad Hajiesmaili (University of Massachusetts Amherst)
Full Paper
Decision-Focused Retraining of Forecast Models for Optimization Problems in Smart Energy Systems
Maximilian Beichter (Karlsruhe Institute of Technology), Dorina Werling (Karlsruhe Institute of Technology), Benedikt Heidrich (Karlsruhe Institute of Technology), Kaleb Phipps (Karlsruhe Institute of Technology), Oliver Neumann (Karlsruhe Institute of Technology), Nils Friederich (Karlsruhe Institute of Technology), Ralf Mikut (Karlsruhe Institute of Technology), Veit Hagenmeyer (Karlsruhe Institute of Technology)
Full Paper
Advancing Accuracy in Energy Forecasting using Mixture-of-Experts and Federated Learning
Jonas Sievers (Karlsruhe Institute of Technology - KIT), Thomas Blank (Karlsruhe Institute of Technology - KIT), Frank Simon (Karlsruhe Institute of Technology - KIT)
Full Paper
Classification Models for Forecasting and Real-Time Identification of Solar Curtailment in the California Grid
Joe Gorka (Department of Electrical and Computer Engineering, University of Wisconsin-Madison), Line Roald (Department of Electrical and Computer Engineering, University of Wisconsin-Madison)
Full Paper
Incentives for Accurate Energy Predictions: How to Reduce Epistemic Uncertainty
Roland Saur, Han La Poutré, Neil Yorke-Smith
Full Paper
FedZero: Leveraging Renewable Excess Energy in Federated Learning
Philipp Wiesner (Technische Universität Berlin), Ramin Khalili (Huawei Research Center Munich), Dennis Grinwald (Technische Universität Berlin), Pratik Agrawal (Technische Universität Berlin), Lauritz Thamsen (University of Glasgow), Odej Kao (Technische Universität Berlin)
Full Paper
Online Search with Predictions: Pareto-optimal Algorithm and its Applications in Energy Markets
Russell Lee (University of Massachusetts Amherst), Bo Sun (University of Waterloo), Mohammad Hajiesmaili (University of Massachusetts Amherst), John C. S. Lui (The Chinese University of Hong Kong)
Full Paper
Severe Fault Diagnosis in Digitized District Heating Network Substations: A Machine Learning Regression Approach
Martin Rätz, Rita Streblow, Dirk Müller
Poster
Proof of concept: an ICT system framework for local energy markets based on open-source solutions
Junsong Du (RWTH Aachen University, E.ON Energy Research Center, Institute for Energy Efficient Buildings and Indoor Climate), Rita Streblow (RWTH Aachen University, E.ON Energy Research Center, Institute for Energy Efficient Buildings and Indoor Climate), Dirk Müller (RWTH Aachen University, E.ON Energy Research Center, Institute for Energy Efficient Buildings and Indoor Climate)
Poster
Two Tropical Data Center Testbeds and Data Yields from 2018 to 2024
Rongrong Wang (School of Computer Science and Engineering, Nanyang Technological University), Duc Van Le (School of Computer Science and Engineering, Nanyang Technological University), Rui Tan (School of Computer Science and Engineering, Nanyang Technological University)
Poster
HomeLabGym: A real-world testbed for home energy management systems
Toon Van Puyvelde (IDLab, Ghent University - imec), Marie-Sophie Verwee (IDLab, Ghent University - imec), Gargya Gokhale (IDLab, Ghent University - imec), Mehran Zareh (Daikin Europe NV), Chris Develder (IDLab, Ghent University - imec)
Poster
Thermal Comfort-aware Aggregation via Multi-HVAC Systems for Demand-side Flexibility
Ren Sasaki (Osaka University), Shotaro Nonaka (Osaka University), Dafang Zhao (Osaka University), Hiroki Nishikawa (Osaka University), Ittetsu Taniguchi (Osaka University), Takao Onoye (Osaka University)
Poster
Frequency Containment Reserve and Imbalance participation: a Battery-Integrated Reinforcement Learning Strategy
Fabio Pavirani (Ghent University), Seyed Soroush Karimi Madahi (Ghent University), Bert Claessens (Beebop), Chris Develder (Ghent University)
Poster
Optimizing VRF System Operation for Energy Efficiency under Power Constraints: On-Site Experiment
Theint Theint Thu (Osaka University), Harrison Malfait (Osaka University), Kenshiro Kato (Osaka University), Dafang Zhao (Osaka University), Hiroki Nishikawa (Osaka University), Ittetsu Taniguchi (Osaka University), Takao Onoye (Osaka University)
Poster
Extending Multi-time Scale Energy Management System to Support Wind Power Generation
Shuhei Mitsunaga (Osaka University), Dafang Zhao (Osaka University), Hiroki Nishikawa (Osaka University), Ittetsu Taniguchi (Osaka University), Takao Onoye (Osaka University)
Poster
Towards deploying ML-based Load Forecasting Models for Building HVAC System: an AI Evaluation Platform
Yang Deng (The Hong Kong Polytechnic University), Donghua Xie (Hong Kong Baptist University), Jingyun Zeng (Hong Kong Baptist University), Rui Liang (The Hong Kong Polytechnic University), Yufei Zhang (EPFL), Jiaqi Fan (The Hong Kong Polytechnic University), Samson Tai (Hong Kong Baptist University), Dan Wang (The Hong Kong Polytechnic University)
Poster
Probabilistic Building Load Forecasting via Conditional Diffusion Model
Rui Liang (The Hong Kong Polytechnic University), Yang Deng (The Hong Kong Polytechnic University), Dan Wang (The Hong Kong Polytechnic University)
Poster
Optimizing Electric Vehicle Charging Stations and Charging Ports for Highways and Expressways
Aadesh Pochhi (CSE, Indian Institute of Information Technology, Guwahati), Akshat Lohia (CSE, Indian Institute of Information Technology, Guwahati), Nilotpal Chakraborty (CSE, Indian Institute of Information Technology, Guwahati)
Poster
Developing Cost Effective and User-Centric Charging Infrastructure for Electric Vehicles in Urban Localities.
Akshat Lohia (Indian Institute of Information Technology Guwahati (IIITG)), Aadesh Pochhi (Indian Institute of Information Technology, Guwahati), Nilotpal Chakraborty (Indian Institute of Information Technology, Guwahati)
Poster
Sample efficient reinforcement learning for building control: Leveraging physics informed latent representations
Gargya Gokhale (IDLab, Ghent University -imec), Bert Claessens (beebop.ai), Chris Develder (IDLab, Ghent University -imec)
Poster
Speech title: Data-driven modeling and analytics for greening the energy ecosystem
Speaker: John Wamburu (ACM SIGEnergy Doctoral Dissertation Award Honorable Mention)
Thursday, June 6th, 2024 @ Level 3, Galleria Ballroom
[Best paper candidate] CAFE: Carbon-Aware Federated Learning in Geographically Distributed Data Centers
Jieming Bian (Electrical and Computer Engineering Department, University of Miami), Lei Wang (Electrical and Computer Engineering Department, University of Miami), Shaolei Ren (Electrical and Computer Engineering Department, UC Riverside), Jie Xu (Electrical and Computer Engineering Department, University of Miami)
Full Paper
LACS: Learning-Augmented Algorithms for Carbon-Aware Resource Scaling with Uncertain Demand
Roozbeh Bostandoost (University of Massachusetts Amherst), Adam Lechowicz (University of Massachusetts Amherst), Walid A. Hanafy (University of Massachusetts Amherst), Noman Bashir (Massachusetts Institute of Technology), Prashant Shenoy (University of Massachusetts Amherst), Mohammad Hajiesmaili (University of Massachusetts Amherst)
Full Paper
[Best paper candidate] The Green Mirage: Impact of Location- and Market-based Carbon Intensity Estimation on Carbon Optimization Efficacy
Diptyaroop Maji (University of Massachusetts Amherst), Noman Bashir (Massachusetts Institute of Technology), David Irwin (University of Massachusetts Amherst), Prashant Shenoy (University of Massachusetts Amherst), Ramesh Sitaraman (University of Massachusetts Amherst & Akamai Tech)
Full Paper
Spatial-Temporal Embodied Carbon Models for the Embodied Carbon Accounting of Computer Systems
Xiaoyang Zhang (The Hong Kong Polytechnic University), Yijie Yang (The Hong Kong Polytechnic University), Dan Wang (The Hong Kong Polytechnic University)
Notes Paper
[Best notes paper candidate] On the Implications of Choosing Average versus Marginal Carbon Intensity Signals on Carbon-aware Optimizations
Thanathorn Sukprasert (University of Massachusetts Amherst), Noman Bashir (Massachusetts Institute of Technology), Abel Souza (University of Massachusetts Amherst), David Irwin (University of Massachusetts Amherst), Prashant Shenoy (University of Massachusetts Amherst)
Notes Paper
Energy-minimizing workload splitting and frequency selection for guaranteed performance over heterogeneous cores
Aditya Priya (Indian Institute of Science Bangalore), Rajiv Choudhury (Indian Institute of Information Technology Guwahati), Sujay Patni (Birla Institute of Technology & Science, Pilani), Himkant Sharma (Indian Institute of Technology Kharagpur), Moonmoon Mohanty (Indian Institute of Science Bangalore), Krishnasuri Narayanam (IBM Research, India), Umamaheswari Devi (IBM Research, India), Pratibha Moogi (IBM Research, India), Preetam Patil (Indian Institute of Science Bangalore), Parimal Parag (Indian Institute of Science Bangalore)
Full Paper
Distill2Explain: Differentiable decision trees for explainable reinforcement learning in energy application controllers
Gargya Gokhale (IDLab, Ghent University - imec), Seyed Soroush Karimi Madahi (IDLab, Ghent University - imec), Bert Claessens (beebop.ai), Chris Develder (IDLab, Ghent University - imec)
Full Paper
[Best paper candidate] PhyGICS – A Physics-informed Graph Neural Network-based Intelligent HVAC Controller for Open-plan Spaces
Srinarayana Nagarathinam (TCS Research), Arunchandar Vasan (TCS Research)
Full Paper
EnergyOS: Designing a Multi-Application EMS Platform
Ehimare Okoyomon, Christoph Goebel
Full Paper
Water Pump Operation Optimization under Dynamic Market and Consumer Behaviour
Carmen Cheh (Illinois Advanced Research Center at Singapore Ltd.), Justin Albrethsen (Singapore University of Technology and Design), Zhen Wei Ng (Illinois Advanced Research Center at Singapore Ltd.), Binbin Chen (Singapore University of Technology and Design), Xin Lou (Singapore Institute of Technology, Illinois Advanced Research Center at Singapore Ltd.), Zaki Masood (Singapore University of Technology and Design), David K.Y. Yau (Singapore University of Technology and Design)
Full Paper
Knowledge-Guided Learning of Temporal Dynamics and its Application to Gas Turbines
Pawel Bielski (Karlsruhe Institute of Technology), Aleksandr Eismont (Karlsruhe Institute of Technology), Jakob Bach (Karlsruhe Institute of Technology), Florian Leiser (Karlsruhe Institute of Technology), Dustin Kottonau (Karlsruhe Institute of Technology), Klemens Böhm (Karlsruhe Institute of Technology)
Full Paper
Control Policy Correction Framework for Reinforcement Learning-based Energy Arbitrage Strategies
Seyed Soroush Karimi Madahi (IDLab, Ghent University - imec), Gargya Gokhale (IDLab, Ghent University - imec), Marie-Sophie Verwee (IDLab, Ghent University - imec), Bert Claessens (Beebop), Chris Develder (IDLab, Ghent University - imec)
Full Paper
Efficient Trading of Aggregate Bidirectional EV Charging Flexibility with Reinforcement Learning
Javier Sales-Ortiz (University of Alberta), Omid Ardakanian (University of Alberta)
Full Paper
Energy Storage Market Power Withholding Bounds in Real-time Markets
Zhiyi Zhou (Xi’an Jiaotong University), Ningkun Zheng (Columbia University), Runfan Zhang (Xi’an Jiaotong University), Bolun Xu (Columbia University)
Full Paper
Real-time Retail Electricity Pricing Using Offline Reinforcement Learning
Sharath Ram Kumar (Univ. Grenoble Alpes, CNRS, Grenoble INP, G2Elab, Nanyang Technological University), Arvind Easwaran (Nanyang Technological University, CNRS@CREATE LTD), Benoit Delinchant (Univ. Grenoble Alpes, CNRS, Grenoble INP, G2Elab, CNRS@CREATE LTD), Remy Rigo-Mariani (Univ. Grenoble Alpes, CNRS, Grenoble INP, G2Elab, CNRS@CREATE LTD)
Notes Paper
Speech title: Combining Machine Learning and Control Theory to Enhance the Operation of Energy Systems
Speaker: Omid Ardakanian (ACM SIGEnergy Rising Star Award)
Friday, June 7th, 2024 @ Level 3, Galleria Ballroom
[Best paper candidate] Quantifying Device Flexibility With Shapley Values in Demand Side Management
Ivo A. M. Varenhorst (University of Twente), Johann Hurink (University of Twente), Marco E. T. Gerards (University of Twente)
Full Paper
FlexCoolDC: Datacenter Cooling Flexibility for Harmonizing Water, Energy, Carbon, and Cost Trade-offs
Wedan Emmanuel Gnibga, Andrew A. Chien, Anne Blavette, Anne Cécile Orgerie
Full Paper
Device-independent metrics for explicit, a priori measurement of energy flexibility
Fabio Lilliu, Jonas Brusokas, Torben Bach Pedersen
Full Paper
Battery Scheduling Optimisation in Energy and Ancillary Services Markets: Quantifying Unrealised Revenue in the Australian NEM
Sahand Karimi-Arpanahi (The University of Adelaide, CSIRO Energy), Ali Pourmousavi Kani (The University of Adelaide), Nariman Mahdavi (CSIRO Energy)
Full Paper
Regional Differences in Configurations of Energy Communities: Future Scenarios and Policy Implications
David Reihs (Center for Energy, AIT - Austrian Institute of Technology, Chair of Computer Networks and Computer Communications, University of Passau), Friederich Kupzog (Center for Energy, AIT - Austrian Institute of Technology), Hermann De Meer (Chair of Computer Networks and Computer Communications, University of Passau)
Full Paper
Benchmarking Aggregation-Disaggregation Pipelines for Smart Charging of Electric Vehicles
Leo Strobel (University of Würzburg), Marco Pruckner (University of Würzburg)
Full Paper
Comfort-aware Optimal Space Planning in Shared Workspaces
Tianyu Zhang (University of Alberta), Omid Ardakanian (University of Alberta)
Full Paper
SOPEVS: Sizing and Operation of PV-EV-Integrated Modern Homes
Anaïs Berkes (Department of Computer Science and Technology, University of Cambridge), Srinivasan Keshav (Department of Computer Science and Technology, University of Cambridge)
Full Paper
Who Controls Your Power Grid? On the Impact of Misdirected Distributed Energy Resources on Grid Stability
Niklas Goerke (FZI Research Center for Information Technology, Karlsruhe Institute of Technology), Alexandra Märtz (Karlsruhe Institute of Technology), Ingmar Baumgart (FZI Research Center for Information Technology, Karlsruhe Institute of Technology)
Full Paper
[Best notes paper candidate] Towards Non-Intrusive Real-Time Monitoring of Behind the Meter Residential Distributed Energy Resources
Pranjol Sen Gupta, S M Shafiul Alam, Yichen Zhang, Mohammad A. Islam
Notes Paper
Line Management in the Energy Packet Grid
Marcel Weßbecher (Institute for Automation and Applied Informatics (IAI), Karlsruhe Institute of Technology (KIT)), Friedrich Wiegel (Institute for Automation and Applied Informatics (IAI), Karlsruhe Institute of Technology (KIT)), Sophie Xing An (Institute for Automation and Applied Informatics (IAI), Karlsruhe Institute of Technology (KIT)), Klemens Schneider (Institute of Telematics (TM), Karlsruhe Institute of Technology (KIT)), Dominik Schulz (Institute of Electrical Engineering (ETI), Karlsruhe Institute of Technology (KIT)), Martina Zitterbart (Institute of Telematics (TM), Karlsruhe Institute of Technology (KIT)), Marc Hiller (Institute of Electrical Engineering (ETI), Karlsruhe Institute of Technology (KIT)), Veit Hagenmeyer (Institute for Automation and Applied Informatics (IAI), Karlsruhe Institute of Technology (KIT))
Full Paper
Identifying Complex Dynamics of Power Grid Frequency
Xinyi Wen, Ulrich Oberhofer, Leonardo Rydin Gorjão, G. Cigdem Yalcin, Veit Hagenmeyer, Benjamin Schäfer
Notes Paper
[Best notes paper candidate] Exploding AI Power Use: an Opportunity to Rethink Grid Planning and Management
Liuzixuan Lin (Department of Computer Science, University of Chicago), Rajini Wijayawardana (Department of Computer Science, University of Chicago), Varsha Rao (Department of Computer Science, University of Chicago), Hai Nguyen (Department of Computer Science, University of Chicago), Emmanuel Wedan GNIBGA (Univ. Rennes, Inria, CNRS, IRISA), Andrew A. Chien (Department of Computer Science, University of Chicago, Argonne National Laboratory)
Notes Paper
Feasibility of Forecasting Highly Resolved Power Grid Frequency Utilizing Temporal Fusion Transformers
Sebastian Pütz (Karlsruhe Institute of Technology), Hadeer El Ashhab (Karlsruhe Institute of Technology), Matthias Hertel (Karlsruhe Institute of Technology), Ralf Mikut (Karlsruhe Institute of Technology (KIT)), Markus Götz (Karlsruhe Institute of Technology), Veit Hagenmeyer (Karlsruhe Institute of Technology), Benjamin Schäfer (Karlsruhe Institute of Technology)
Notes Paper
[Best notes paper candidate] On Brittleness of Data-Driven Distribution System State Estimation to Targeted Attacks
Afia Afrin (University of Alberta), Omid Ardakanian (University of Alberta)
Notes Paper
Contributions of Individual Generators to Nodal Carbon Emissions
Yize Chen (Hong Kong University of Science and Technology), Deepjyoti Deka (Los Alamos National Lab), Yuanyuan Shi (University of California San Diego)
Notes Paper
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