List of Accepted Full/Notes papers (Fall)

• 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

• 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 and Aalborg University))

  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

• Fingerprinting Battery Health Using Relaxing Voltages

  Liang He (University of Colorado Denver), Kang G. Shin (The University of Michigan)

  Full Paper

• 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

• 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

• 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)

  Note

• 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)

  Note

• 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)

  Note

• 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)

  Note

• 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)

  Note

• 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)

  Note

List of Accepted Full/Notes papers (Winter)

• Distributionally robust chance constrained game for coordinating renewable microgrids in energy and reserve markets

  Yifu Ding (MIT), Siyuan Wang (Johns Hopkins University), and Benjamin Hobbs (Johns Hopkins University)

  Full Paper

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

  Ruihang Wang, Zhiwei Cao, Xin Zhou, Yonggang Wen, and Rui Tan (Nanyang Technological University)

  Full Paper

• LyaSafe: Toward Model-Assisted Safe Reinforcement Learning for Data Center Decarbonization Via Intelligent Cooling Control

  Zhiwei Cao, Ruihang Wang, Xin Zhou, and Yonggang Wen (Nanyang Technological University)

  Full Paper

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

  Noman Bashir, Yasra Chandio, David Irwin, Fatima M. Anwar, Jeremy Gummeson, and Prashant Shenoy (University of Massachusetts Amherst)

  Full Paper

• Carbon-Intelligent Global Routing in Path-Aware Networks

  Seyedali Tabaeiaghdaei, Simon Scherrer, Jonghoon Kwon, and Adrian Perrig (ETH Zurich)

  Full Paper

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

  Junyan Su, Qiulin Lin, and Minghua Chen (City University of Hong Kong)

  Full Paper

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

  Subina Khanal, Nguyen Ho, and Torben Bach Pedersen (Aalborg University)

  Full Paper

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

  Xiaoyang and Dan Wang (The Hong Kong Polytechnic University)

  Full Paper

• Heat FlexOffers: a device-independent and scalable representation of electricity-heat flexibility.

  Fabio Lilliu, Torben Bach Pedersen, and Laurynas Siksnys (Aalborg University)

  Full Paper

• AutoPV: Automated photovoltaic forecasts with limited information using an ensemble of pre-trained models

  Stefan Meisenbacher, Benedikt Heidrich, Tim Martin, Ralf Mikut, and Veit Hagenmeyer (Karlsruhe Institute of Technology)

  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), and Line A. Roald (University of Wisconsin-Madison)

  Full Paper

• Adapting Datacenter Capacity for Greener Datacenters and Grid

  Liuzixuan Lin and Andrew A. Chien (University of Chicago)

  Full 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), and Veit Hagenmeyer (Karlsruhe Institute of Technology)

  Full Paper

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

  Adrien Petralia (EDF), Philippe Charpentier (EDF), Paul Boniol (Université Paris Cité), and Themis Palpanas (Université Paris Cité)

  Full Paper

• 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), and Xiaofan Jiang (Columbia University)

  Full Paper

• 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), and Hsin-Yu Liu (University of California San Diego)

  Full Paper

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

  Afia Afrin and Omid Ardakanian (University of Alberta)

  Full Paper

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

  Saidur Rahman, Javier Sales-Ortiz, and Omid Ardakanian (University of Alberta)

  Full Paper

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

  Kaleb Phipps, Stefan Meisenbacher, Benedikt Heidrich, Marian Turowski, Ralf Mikut, and Veit Hagenmeyer (Karlsruhe Institute of Technology)

  Full Paper

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

  Bushra Ali Alshehhi (Khalifa University), Areg Karapetyan (Khalifa University), Khaled Elbassioni (Khalifa University), Sid Chi-Kin Chau (Australian National University), Majid Khonji (Khalifa University), and Areg Karapetyan (Khalifa University)

  Full Paper

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

  Aparna Kishore, Swapna Thorve, and Madhav Marathe (University of Virginia)

  Full Paper

• Optimizing Demand Response in Distribution Network with Grid Operational Constraints

  Tianyu Zhao (Lenovo Machine Intelligence Center), Min Zhou (City University of Hong Kong), Yanfang Mo (City University of Hong Kong), Jason Min Wang (Lenovo Machine Intelligence Center), Jun Luo (Lenovo Machine Intelligence Center), Xiang Pan (City University of Hong Kong), and Minghua Chen (City University of Hong Kong)

  Full 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) and Marco Pruckner (University of Wuerzburg)

  Full Paper

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

  Vishnu Menon, Yogesh Bichpuriya, Venkatesh Sarangan, and Narayanan Rajagopal (TCS Research)

  Full Paper

• Data-Driven Inverse Optimization for Offer Price Recovery

  Zhirui Liang and Yury Dvorkin (Johns Hopkins University)

  Full Paper

• Phase Retrieval in Newton-Raphson Power Flow

  Samuel Talkington and Santiago Grijalva (Johns Hopkins University)

  Full Paper

• 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), and Dimitrios Rovas (University College London)

  Note

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

  René Schwermer (Technical University of Munich), Ruben Mayer (Technical University of Munich), and Hans-Arno Jacobsen (University of Toronto)

  Note

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

  Huanyu Yan, Xiaoying Tang, and Huanyu Yan (The Chinese University of Hong Kong, Shenzhen)

  Note

• 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), and Audun Botterud (Massachusetts Institute of Technology)

  Note

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

  Jonas Van Gompel, Domenico Spina, and Chris Develder (Ghent university)

  Note

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

  Dongwei Zhao, Audun Botterud, and Marija Ilic (Massachusetts Institute of Technology)

  Note

• 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), and Philipp Staudt (University of Oldenburg)

  Note

• 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 Kolluri (IBM), Eun Kung Lee (IBM T. J. Watson Research Center), and Prashant Shenoy (University of Massachusetts Amherst)

  Note

• 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), and Rachid Guerraoui (EPFL)

  Note

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

  Elena Giacomazzi, Felix Haag, and Konstantin Hopf (University of Bamberg)

  Note

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