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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