Conference Program

Please be aware that there will be no Tuesday evening reception this year. We look forward to hosting everyone at the banquet on Thursday. Thank you!

Venue of e-Energy sessions: Magnolia 23-24.

Venue of e-Energy Poster/Demo Reception session: Cypress 3

• Wednesday, June 21, 2023

• 8:00 AM EST — 8:45 AM EST

• Continental Breakfas, Cypress 3

• 8:45 AM EST — 9:15 AM EST

• ACM e-Energy Opening / Welcome Session

• 9:15 AM EST — 10:15 AM EST

• e-Energy Keynote 1: John Sipple, Google Research

• 10:15 AM EST — 11:00 AM EST

• Session 1: Building Environment Control

  Session Chair: Omid Ardakanian (University of Alberta)

• Rule-based Policy Regularization for Reinforcement Learning-based Building Control

  Hsin-Yu Liu: University of California San Diego; Bharathan Balaji: Amazon; Rajesh Gupta: University of California San Diego; Dezhi Hong: Amazon

  Full Paper

• Phyllis: Physics-Informed Lifelong Reinforcement Learning for Data Center Cooling Control

  Ruihang Wang: Nanyang Technological University; Zhiwei Cao: Nanyang Technological University; Xin Zhou: Jiangxi Science and Technology Normal University; Yonggang Wen: Nanyang Technological University; Rui Tan: Nanyang Technological University

  Full Paper

• BEAR: Physics-Principled Building Environment for Control and Reinforcement Learning

  Chi Zhang: University of California San Diego; Yuanyuan Shi: University of California San Diego; Yize Chen: Hong Kong University of Science and Technology

  Notes Paper

• 11:00 AM EST — 11:20 AM EST

• Coffee Break

• 11:20 AM EST — 12:30 PM EST

• FCRC Plenary Session, Cypress 2

• FCRC Plenary Session—Keynote: Constructing and Deconstructing Trust: Employing Cryptographic Recipe in the ML Domain

• 12:30 PM EST — 2:00 PM EST

• Lunch

• 2:00 PM EST — 3:30 PM EST

• Session 2: Electric Vehicle Charging

  Session Chair: Zheng Grace Ma (University of Southern Denmark)

• Near-optimal Online Algorithms for Joint Pricing and Scheduling in EV Charging Networks

  Roozbeh Bostandoost: University of Massachusetts Amherst; Bo Sun: The Chinese University of Hong Kong; Carlee Joe-Wong: CMU; Mohammad Hajiesmaili: University of Massachusetts Amherst

  Full Paper

• Incorporating Range Anxiety into Electric Vehicle Highway Charging Decisions: A Bayesian Game Analysis

  Huanyu Yan: The Chinese University of Hong Kong, Shenzhen; Xiaoying Tang: The Chinese University of Hong Kong, Shenzhen, Shenzhen Institute of Artificial Intelligence and Robotics for Society

  Notes Paper

• An Efficient Greedy Algorithm for Real-World Large-Scale Electric Vehicle Charging

  Marius Hegele: ChargeHere GmbH; Philipp Metzler: ChargeHere GmbH; Sebastian Beichter: Karlsruhe Institute of Technology; Friedrich Wiegel: Karlsruhe Institute of Technology; Veit Hagenmeyer: Karlsruhe Institute of Technology

  Full

• A Data-Driven and Human-Centric EV Charging Recommendation System at City-Scale

  Jingping Nie: Columbia University; Stephen Xia: Columbia University; Yanchen Liu: Columbia University; Shengxuan Ding: University of Central Florida; Lanxiang Hu: Columbia University; Minghui Zhao: Columbia University; Yuang Fan: New York University; Mohamed Abdel-Aty: University of Central Florida; Matthias Preindl: Columbia University; Xiaofan Jiang: Columbia University

  Full Paper

• DClEVerNet: Deep Combinatorial Learning for Efficient EV Charging Scheduling in Large-scale Networked Facilities

  Bushra Alshehhi: Khalifa University; Areg Karapetyan: Khalifa University, New York University Abu Dhabi; Khaled Elbassioni: Khalifa University; Sid Chi-Kin Chau: Australian National University; Majid Khonji: Khalifa University

  Full Paper

• Making a Virtual Power Plant out of Privately Owned Electric Vehicles: From Contract Design to Scheduling

  Saidur Rahman: University of Alberta; Javier Sales-Ortiz: University of Alberta; Omid Ardakanian: University of Alberta

  Full Paper

• 3:30 PM EST — 4:00 PM EST

• Coffee Break

• 4:00 PM EST — 5:30 PM EST

• Session 3: Forecasting

  Session Chair: Robert Basmadjian (TU Clausthal)

• Short-term Electricity Load Forecasting using the Temporal Fusion Transformer: Effect of Grid Hierarchies and Data Sources

  Elena Giacomazzi: University of Bamberg; Felix Haag: University of Bamberg; Konstantin Hopf: University of Bamberg

  Notes Paper

• A GNN-based Day Ahead Carbon Intensity Forecasting Model for Cross-Border Power Grids

  Xiaoyang Zhang: The Hong Kong Polytechnic University; Dan Wang: The Hong Kong Polytechnic University

  Full Paper

• AutoPV: Automated Photovoltaic Forecasts with Limited Information using an Ensemble of Pre-trained Models

  Stefan Meisenbacher: Karlsruhe Institute of Technology; Benedikt Heidrich: Karlsruhe Institute of Technology; Tim Martin: Karlsruhe Institute of Technology; Ralf Mikut: Karlsruhe Institute of Technology; Veit Hagenmeyer: Karlsruhe Institute of Technology

  Full Paper

• CUFF: A Configurable Uncertainty-driven Forecasting Framework for Green AI Clusters

  Priyanka Mary Mammen: University of Massachusetts Amherst; Noman Bashir: University of Massachusetts Amherst; Ramachandra Rao Kolluri: IBM Centre for Applied Research; Eun Kung Lee: IBM T. J. Watson Research Center; Prashant Shenoy: University of Massachusetts Amherst

  Notes Paper

• Loss-Customised Probabilistic Energy Time Series Forecasts Using Automated Hyperparameter Optimisation

  Kaleb Phipps: Karlsruhe Institute of Technology; Stefan Meisenbacher: Karlsruhe Institute of Technology; Benedikt Heidrich: Karlsruhe Institute of Technology; Marian Turowski: Karlsruhe Institute of Technology; Ralf Mikut: Karlsruhe Institute of Technology; Veit Hagenmeyer: Karlsruhe Institute of Technology

  Full Paper

• 5:30 PM EST — 7:00 PM EST

• e-Energy Poster/Demo Reception, Cypress 3

  Session Chair: Giorgis Georgakoudis, Vassilis Vassiliadis, Shuaiwen Leon, Song

• Thursday, June 22, 2023

• 8:00 AM EST — 8:45 AM EST

• Continental Breakfast, Cypress 1

• 8:45 AM EST — 9:00 AM EST

• ACM e-Energy Opening/Morning Addresses

• 9:00 AM EST — 10:00 AM EST

• e-Energy Keynote 2: Dr. Bronis R. de Supinsiki, Livermore Computing, Lawrence Livermore National Laboratory

• 10:00 AM EST — 11:00 AM EST

• Session 4: Smart Grid Analysis

  Session Chair: Noman Bashir (UMass Amherst)

• DeepOPF-AL: Augmented Learning for Solving AC-OPF Problems with a Multi-Valued Load-Solution Mapping

  Xiang Pan: The Chinese University of Hong Kong; Wanjun Huang: Beihang University; Minghua Chen: City University of Hong Kong; Steven H. Low: Caltech

  Notes Paper

• A Shapley value-based Distributed AC OPF Approach for Redispatch Congestion Cost Allocation

  Rebecca Bauer: Karlsruhe Institute of Technology; Xinliang Dai: Karlsruhe Institute of Technology; Veit Hagenmeyer: Karlsruhe Institute of Technology

  Notes Paper

• Phase Retrieval via Model-Free Power Flow Jacobian Recovery

  Samuel Talkington: Georgia Institute of Technology; Santiago Grijalva: Georgia Institute of Technology

  Full Paper

• Optimizing Demand Response in Distribution Network with Grid Operational Constraints

  Tianyu Zhao: City University of Hong Kong; Min Zhou: City University of Hong Kong; Yanfang Mo: City University of Hong Kong; Jason Min Wang: Lenovo; Jun Luo: Lenovo; Xiang Pan: Tencent; Minghua Chen: City University of Hong Kong

  Full Paper

• Data-Driven Inverse Optimization for Marginal Offer Price Recovery in Electricity Markets

  Zhirui Liang: Johns Hopkins University; Yury Dvorkn: Johns Hopkins University

  Full Paper

• 11:00 AM EST — 11:20 AM EST

• Coffee Breeak

• 11:20 AM EST — 12:30 PM EST

• FCRC Plenary Session, Cypress 2

• FCRC Plenary Session—Keynote: The Quantum Internet: Recent Advantages and Challenges

• 12:30 PM EST — 2:00 PM EST

• Lunch, Cypress 1

• 2:00 PM EST — 3:30 PM EST

• Session 5: Renewables and Energy Control

  Session Chair: Mohammad Hajiesmaili (UMass Amherst)

• Coordinating Renewable Microgrids for Reliable Reserve Services: A Distributionally Robust Chance-constrained Game Model

  Yifu Ding: MIT; Siyuan Wang: Johns Hopkins University; Benjamin Hobbs: Johns Hopkins University

  Full Paper

• Model-Free Approach to Fair Solar PV Curtailment Using Reinforcement Learning

  Zhuo Wei: Monash University; Frits De Nijs: Monash University; Jinhao Li: Monash University; Hao Wang: Monash University

  Notes Paper

• A Scalable Bilevel Framework for Renewable Energy Scheduling

  Dongwei Zhao: Massachusetts Institute of Technology; Vladimir Dvorkin: Massachusetts Institute of Technology; Stefanos Delikaraoglou: Massachusetts Institute of Technology; Alberto J. Lamadrid L.: Lehigh University; Audun Botterud: Massachusetts Institute of Technology

  Notes Paper

• Uniform Pricing vs Pay as Bid in 100%-Renewables Electricity Markets: A Game-theoretical Analysis

  Dongwei Zhao: Massachusetts Institute of Technology; Audun Botterud: Massachusetts Institute of Technology; Marija Ilic: Massachusetts Institute of Technology

  Notes Paper

• Toward Model-Assisted Safe Reinforcement Learning for Data Center Cooling Control: A Lyapunov-based Approach

  Zhiwei Cao: Nanyang Technological University; Ruihang Wang: Nanyang Technological University; Xin Zhou: Jiangxi Science and Technology Normal University; Yonggang Wen: Nanyang Technological University

  Full Paper

• Multi-Agent Deep Reinforcement Learning for Modeling Storage Capacity in Large-Scale Electricity Market Models

  Nick Harder: University of Freiburg; Anke Weidlich: University of Freiburg; Philipp Staudt: University of Oldenburg

  Notes Paper

• A Best-effort Energy Storage as a Service Model for Supporting Renewable Generators in Day-ahead Electricity Markets

  Vishnu Menon: TCS Research, Tata Consultancy Services; Yogesh Bichpuriya: TCS Research, Tata Consultancy Services; Venkatesh Sarangan: TCS Research, Tata Consultancy Services; Narayanan Rajagopal: TCS Research, Tata Consultancy Services

  Full Paper

• 3:30 PM EST — 4:00 PM EST

• Coffee Break

• 4:00 PM EST — 5:30 PM EST

• Session 6: Carbon-aware Operation

  Session Chair: Minghua Chen (City University of Hong Kong)

• Equitable Network-Aware Decarbonization of Residential Heating at City Scale

  Adam Lechowicz: University of Massachusetts Amherst; Noman Bashir: University of Massachusetts Amherst; John Wamburu: IBM Research Africa; Mohammad Hajiesmaili: University of Massachusetts Amherst; Prashant Shenoy: University of Massachusetts Amherst

  Full Paper

• Carbon-Aware Global Routing in Path-Aware Networks

  Seyedali Tabaeiaghdaei: ETH Zürich; Simon Scherrer: ETH Zürich; Jonghoon Kwon: ETH Zürich; Adrian Perrig: ETH Zürich

  Full Paper

• Follow the Sun and Go with the Wind: Carbon-Footprint Optimized Timely E-Truck Transportation

  Junyan Su: City University of Hong Kong; Qiulin Lin: City University of Hong Kong; Minghua Chen: City University of Hong Kong

  Full Paper

• Effective Risk-limiting Carbon Emission Aware Economic Dispatch: An Algorithmic Perspective

  Jian Sun: Tsinghua University; Yaoyu Zhang: Tsinghua University; Chenye Wu: The Chinese University of Hong Kong, Shenzhen

  Full Paper

• Adapting Datacenter Capacity for Greener Datacenters and Grid

  Liuzixuan Lin: University of Chicago; Andrew A Chien: University of Chicago, Argonne National Laboratory

  Full Paper

• 5:30 PM EST — 6:00 PM EST

• SIGEnergy/e-Energy Award Session 1

  Session Chair: Minghua Chen (City University of Hong Kong)

• Optimization-in-the-loop Machine Learning for Power and Energy

  Priya L. Donti (SIGEnergy Doctoral Dissertation Award 2022)

• 6:30 PM EST — 11:00 PM EST

• Banquet

• Friday, June 23, 2023

• 8:00 AM EST — 8:45 AM EST

• Continental Breakfast, Cypress 2

• 8:45 AM EST — 9:00 AM EST

• ACM e-Energy Opening/Morning Addresses

• 9:00 AM EST — 10:00 AM EST

• SIGEnergy/e-Energy Award Session 2

  Session Chair: Minghua Chen

• Structured Learning for Energy Systems

  Baosen Zhang (SIGEnergy Rising Star Award 2022)

• Responsible AI for Future Energy Systems: A Glimpse Through the Lens of Online Algorithms

  Tongxin Li (SIGEnergy Doctoral Dissertation Award 2022 Honorable Mention)

• 10:00 AM EST — 11:00 AM EST

• Session 7: Privacy, Security, and Accountability

  Session Chair: Chenye Wu (Chinese University of Hong Kong, Shenzhen)

• Energy vs Privacy: Estimating the Ecological Impact of Federated Learning

  René Schwermer: Technical University of Munich; Ruben Mayer: University of Bayreuth; Hans-Arno Jacobsen: University of Toronto

  Notes Paper

• A distributed approach to privacy-preservation and integrity assurance of smart metering data

  Gaurav Wagh: Rochester Institute of Technology; Sumita Mishra: Rochester Institute of Technology

  Notes Paper

• FDA-HeatFlex: Scalable Privacy-Preserving Temperature and Flexibility Prediction for Heat Pumps using Federated Domain Adaptation

  Subina Khanal: Aalborg University; Nguyen Ho: Aalborg University; Torben Bach Pedersen: Aalborg University

  Full Paper

• Adversarial Attacks on Machine Learning-Based State Estimation in Power Distribution Systems

  Afia Afrin: University of Alberta; Omid Ardakanian: University of Alberta

  Full Paper

• Blockchain-enabled Parametric Solar Energy Insurance via Remote Sensing

  Mingyu Hao: Australian National University; Keyang Qian: Australian National University; Sid Chi-Kin Chau: Australian National University

  Notes Paper

• 11:00 AM EST — 11:20 AM EST

• Coffee Breeak

• 11:20 AM EST — 12:30 PM EST

• FCRC Plenary Session, Cypress 2

• FCRC Plenary Session—Keynote: Scalable and Efficient AI: From Supercomputers to Smartphones

• 12:30 PM EST — 2:00 PM EST

• Lunch, Cypress 2

• 2:00 PM EST — 3:30 PM EST

• Session 8: Sensing

  Session Chair: Sebastian Lehnhoff (University of Oldenburg)

• A Programming Model for Portable Fault Detection and Diagnosis

  Dimitris Mavrokapnidis: University College London; Gabe Fierro: Colorado School of Mines; Ivan Korolija: University College London; Dimitrios Rovas: University College London

  Notes Paper

• Fingerprinting Battery Health Using Relaxing Voltages

  Liang He: University of Colorado Denver; Kang G. Shin: The University of Michigan

  Full Paper

• Appliance Detection Using Very Low-Frequency Smart Meter Time Series

  Adrien Petralia: EDF, Université Paris Cité; Philippe Charpentier: EDF; Paul Boniol: Université Paris Cité, ENS Paris Saclay; Themis Palpanas: Université Paris Cité, IUF

  Full Paper

• Graph neural networks for fault diagnosis of geographically nearby photovoltaic systems

  Jonas Van Gompel: Ghent University; Domenico Spina: Ghent university; Chris Develder: Ghent university

  Notes Paper

• Generalized State of Health Estimation Approach based on Neural Networks for Various Lithium-Ion Battery Chemistries

  Steffen Bockrath: Fraunhofer Institute for Integrated Systems and Device Technology; Marco Pruckner: University of Wuerzburg

  Full Paper

• Assessing the impact of measurement artifacts on energy loss calculation in electrical distribution grids

  Imad Antonios: Southern Connecticut State University; Hans-Peter Schwefel: GridData GmbH, Aalborg University

  Full Paper

• 3:30 PM EST — 4:00 PM EST

• Coffee Breeak

• 4:00 PM EST — 5:30 PM EST

• Session 9: Modeling and Planning

  Session Chair: Astrid Nieße (University of Oldenburg)f

• Jointly Managing Electrical and Thermal Energy in Solar- and Battery-powered Computer Systems

  Noman Bashir: University of Massachusetts Amherst; Yasra Chandio: University of Massachusetts Amherst; David Irwin: University of Massachusetts Amherst; Fatima M. Anwar: University of Massachusetts Amherst; Jeremy Gummeson: University of Massachusetts; Prashant Shenoy: University of Massachusetts Amherst

  Full Paper

• Uncertain FlexOffers: A Scalable, Uncertainty-aware Model for Energy Flexibility

  Fabio Lilliu: Aalborg University; Torben Bach Pedersen: Aalborg University; Laurynas Siksnys: Aalborg University; Bijay Neupane: Aalborg University

  Full Paper

• Managing Wildfire Risk and Promoting Equity through Optimal Configuration of Networked Microgrids

  Sofia Taylor: University of Wisconsin-Madison; Gabriela Setyawan: University of Wisconsin-Madison; Bai Cui: National Renewable Energy Laboratory; Ahmed Zamzam: National Renewable Energy Laboratory; Line A. Roald: University of Wisconsin-Madison)

  Full Paper

• An Efficient and Accurate Personalized Peer-to-Peer Machine Learning Approach for Home Thermal Modeling

  Karim Boubouh: UM6P; Robert Basmadjian: Clausthal University of Technology; Omid Ardakanian: University of Alberta; Alexandre Maurer: UM6P; Rachid Guerraoui: EPFL

  Notes Paper

• Budget-constrained optimal and equitable retrofitting problems for achieving energy efficiency

  Aparna Kishore: University of Virginia; Swapna Thorve: University of Virginia; Madhav Marathe: University of Virginia

  Full Paper

• Heat FlexOffers: A Device-independent and Scalable Representation of Electricity-heat Flexibility

  Fabio Lilliu: Aalborg University; Torben Bach Pedersen: Aalborg University; Laurynas Siksnys: Aalborg University

  Full Paper

• 5:30 PM EST — 5:45 PM EST

• e-Energy Closing Remarks

Please email the TPC Chairs Xiaofan (Fred) Jiang, Zheng Grace Ma, and Rui Tan with any questions you may have.

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