Table of Contents

• Equitable Network-Aware Decarbonization of Residential Heating at City ScaleAdam Lechowicz, Noman Bashir, John Wamburu, Mohammad Hajiesmaili, Prashant J. Shenoy. 1-13 [doi]
• Model-Free Approach to Fair Solar PV Curtailment Using Reinforcement LearningZhuo Wei, Frits de Nijs, Jinhao Li, Hao Wang. 14-21 [doi]
• Assessing the impact of measurement artifacts on energy loss calculation in electrical distribution gridsImad Antonios, Hans-Peter Schwefel. 22-29 [doi]
• Uncertain FlexOffers: a scalable, uncertainty-aware model for energy flexibilityFabio Lilliu, Torben Bach Pedersen, Laurynas Siksnys, Bijay Neupane. 30-41 [doi]
• DeepOPF-AL: Augmented Learning for Solving AC-OPF Problems with a Multi-Valued Load-Solution MappingXiang Pan, Wanjun Huang, Minghua Chen 0001, Steven H. Low. 42-47 [doi]
• Fingerprinting Battery Health Using Relaxing VoltagesLiang He 0002, Kang G. Shin. 48-59 [doi]
• A distributed approach to privacy-preservation and integrity assurance of smart metering dataGaurav S. Wagh, Sumita Mishra. 60-65 [doi]
• BEAR: Physics-Principled Building Environment for Control and Reinforcement LearningChi Zhang, Yuanyuan Shi, Yize Chen. 66-71 [doi]
• Near-optimal Online Algorithms for Joint Pricing and Scheduling in EV Charging NetworksRoozbeh Bostandoost, Bo Sun 0004, Carlee Joe-Wong, Mohammad H. Hajiesmaili. 72-83 [doi]
• Effective Risk-limiting Carbon Emission Aware Economic Dispatch: An Algorithmic PerspectiveJian Sun, Yaoyu Zhang, Chenye Wu. 84-98 [doi]
• Blockchain-enabled Parametric Solar Energy Insurance via Remote SensingMingyu Hao, Keyang Qian, Sid Chi-Kin Chau. 99-108 [doi]
• A Shapley value-based Distributed AC OPF Approach for Redispatch Congestion Cost AllocationRebecca Bauer, Xinliang Dai, Veit Hagenmeyer. 109-113 [doi]
• Phyllis: Physics-Informed Lifelong Reinforcement Learning for Data Center Cooling ControlRuihang Wang, Zhiwei Cao, Xin Zhou 0003, Yonggang Wen 0001, Rui Tan. 114-126 [doi]
• A Programming Model for Portable Fault Detection and DiagnosisDimitris Mavrokapnidis, Gabe Fierro, Ivan Korolija, Dimitrios Rovas. 127-131 [doi]
• Jointly Managing Electrical and Thermal Energy in Solar- and Battery-powered Computer SystemsNoman Bashir, Yasra Chandio, David E. Irwin, Fatima M. Anwar, Jeremy Gummeson, Prashant J. Shenoy. 132-143 [doi]
• Carbon-Aware Global Routing in Path-Aware NetworksSeyedali Tabaeiaghdaei, Simon Scherrer, Jonghoon Kwon, Adrian Perrig. 144-158 [doi]
• Follow the Sun and Go with the Wind: Carbon Footprint Optimized Timely E-Truck TransportationJunyan Su, Qiulin Lin, Minghua Chen 0001. 159-171 [doi]
• FDA-HeatFlex: Scalable Privacy-Preserving Temperature and Flexibility Prediction for Heat Pumps using Federated Domain AdaptationSubina Khanal, Nguyen Ho, Torben Bach Pedersen. 172-183 [doi]
• Incorporating Range Anxiety into Electric Vehicle Highway Charging Decisions: A Bayesian Game Analysis✱Huanyu Yan, Xiaoying Tang 0002. 184-188 [doi]
• Managing Wildfire Risk and Promoting Equity through Optimal Configuration of Networked MicrogridsSofia Taylor, Gabriela Setyawan, Bai Cui, Ahmed S. Zamzam, Line A. Roald. 189-199 [doi]
• Adapting Datacenter Capacity for Greener Datacenters and GridLiuzixuan Lin, Andrew A. Chien. 200-213 [doi]
• Appliance Detection Using Very Low-Frequency Smart Meter Time SeriesAdrien Petralia, Philippe Charpentier, Paul Boniol, Themis Palpanas. 214-225 [doi]
• A Scalable Bilevel Framework for Renewable Energy SchedulingDongwei Zhao, Vladimir Dvorkin, Stefanos Delikaraoglou, Alberto J. Lamadrid L., Audun Botterud. 226-230 [doi]
• Graph neural networks for fault diagnosis of geographically nearby photovoltaic systemsJonas Van Gompel, Domenico Spina, Chris Develder. 231-235 [doi]
• Uniform Pricing vs Pay as Bid in 100%-Renewables Electricity Markets: A Game-theoretical AnalysisDongwei Zhao, Audun Botterud, Marija Ilic. 236-241 [doi]
• Rule-based Policy Regularization for Reinforcement Learning-based Building ControlHsin-Yu Liu, Bharathan Balaji, Rajesh Gupta, Dezhi Hong. 242-265 [doi]
• CUFF: A Configurable Uncertainty-driven Forecasting Framework for Green AI ClustersPriyanka Mary Mammen, Noman Bashir, Ramachandra Rao Kolluri, Eun Kung Lee, Prashant J. Shenoy. 266-270 [doi]
• Loss-Customised Probabilistic Energy Time Series Forecasts Using Automated Hyperparameter OptimisationKaleb Phipps, Stefan Meisenbacher, Benedikt Heidrich, Marian Turowski, Ralf Mikut, Veit Hagenmeyer. 271-286 [doi]
• DClEVerNet: Deep Combinatorial Learning for Efficient EV Charging Scheduling in Large-scale Networked FacilitiesBushra Alshehhi, Areg Karapetyan, Khaled M. Elbassioni, Sid Chi-Kin Chau, Majid Khonji. 287-298 [doi]
• Optimizing Demand Response in Distribution Network with Grid Operational ConstraintsTianyu Zhao, Min Zhou, Yanfang Mo, Jason Min Wang, Jun Luo, Xiang Pan, Minghua Chen. 299-313 [doi]
• Generalized State of Health Estimation Approach based on Neural Networks for Various Lithium-Ion Battery ChemistriesSteffen Bockrath, Marco Pruckner. 314-323 [doi]
• Coordinating renewable microgrids for reliable reserve services: a distributionally robust chance-constrained gameYifu Ding, Siyuan Wang, Benjamin Hobbs. 324-332 [doi]
• Toward Model-Assisted Safe Reinforcement Learning for Data Center Cooling Control: A Lyapunov-based ApproachZhiwei Cao, Ruihang Wang, Xin Zhou 0003, Yonggang Wen 0001. 333-346 [doi]
• Energy vs Privacy: Estimating the Ecological Impact of Federated LearningRené Schwermer, Ruben Mayer, Hans-Arno Jacobsen. 347-352 [doi]
• Short-Term Electricity Load Forecasting Using the Temporal Fusion Transformer: Effect of Grid Hierarchies and Data SourcesElena Giacomazzi, Felix Haag, Konstantin Hopf. 353-360 [doi]
• A GNN-based Day Ahead Carbon Intensity Forecasting Model for Cross-Border Power GridsXiaoyang Zhang, Dan Wang 0002. 361-373 [doi]
• Heat FlexOffers: a device-independent and scalable representation of electricity-heat flexibilityFabio Lilliu, Torben Bach Pedersen, Laurynas Siksnys. 374-385 [doi]
• AutoPV: Automated photovoltaic forecasts with limited information using an ensemble of pre-trained modelsStefan Meisenbacher, Benedikt Heidrich, Tim Martin, Ralf Mikut, Veit Hagenmeyer. 386-414 [doi]
• An Efficient Greedy Algorithm for Real-World Large-Scale Electric Vehicle ChargingMarius Hegele, Philipp Metzler, Sebastian Beichter, Friedrich Wiegel, Veit Hagenmeyer. 415-426 [doi]
• A Data-Driven and Human-Centric EV Charging Recommendation System at City-ScaleJingping Nie, Stephen Xia, Yanchen Liu, Shengxuan Ding, Lanxiang Hu, Minghui Zhao, Yuang Fan, Mohamed A. Abdel-Aty, Matthias Preindl, Xiaofan Jiang 0001. 427-438 [doi]
• Modeling Participation of Storage Units in Electricity Markets using Multi-Agent Deep Reinforcement LearningNick Harder, Anke Weidlich, Philipp Staudt. 439-445 [doi]
• Adversarial Attacks on Machine Learning-Based State Estimation in Power Distribution SystemsAfia Afrin, Omid Ardakanian. 446-458 [doi]
• Making a Virtual Power Plant out of Privately Owned Electric Vehicles: From Contract Design to SchedulingSaidur Rahman, Javier Sales-Ortiz, Omid Ardakanian. 459-472 [doi]
• Budget-constrained optimal and equitable retrofitting problems for achieving energy efficiencyAparna Kishore, Swapna Thorve, Madhav V. Marathe. 473-484 [doi]
• A Best-effort Energy Storage as a Service Model for Supporting Renewable Generators in Day-ahead Electricity MarketsVishnu P. Menon, Yogesh Bichpuriya, Venkatesh Sarangan, Narayanan Rajagopal. 485-496 [doi]
• Data-Driven Inverse Optimization for Marginal Offer Price Recovery in Electricity MarketsZhirui Liang, Yury Dvorkin. 497-509 [doi]
• Phase Retrieval via Model-Free Power Flow Jacobian RecoverySamuel Talkington, Santiago Grijalva. 510-523 [doi]
• Efficient and Accurate Peer-to-Peer Training of Machine Learning Based Home Thermal ModelsKarim Boubouh, Robert Basmadjian, Omid Ardakanian, Alexandre Maurer, Rachid Guerraoui. 524-529 [doi]