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ORCID14th e-Energy 2023: Orlando, FL, USA
- Proceedings of the 14th ACM International Conference on Future Energy Systems, e-Energy 2023, Orlando, FL, USA, June 20-23, 2023. ACM 2023
- Adam Lechowicz
, Noman Bashir, John Wamburu, Mohammad Hajiesmaili, Prashant J. Shenoy:
Equitable Network-Aware Decarbonization of Residential Heating at City Scale. 1-13 - Zhuo Wei, Frits de Nijs, Jinhao Li, Hao Wang:
Model-Free Approach to Fair Solar PV Curtailment Using Reinforcement Learning. 14-21 - Imad Antonios, Hans-Peter Schwefel:
Assessing the impact of measurement artifacts on energy loss calculation in electrical distribution grids. 22-29 - Fabio Lilliu, Torben Bach Pedersen, Laurynas Siksnys, Bijay Neupane:
Uncertain FlexOffers: a scalable, uncertainty-aware model for energy flexibility. 30-41 - Xiang Pan, Wanjun Huang, Minghua Chen, Steven H. Low:
DeepOPF-AL: Augmented Learning for Solving AC-OPF Problems with a Multi-Valued Load-Solution Mapping. 42-47 - Liang He, Kang G. Shin:
Fingerprinting Battery Health Using Relaxing Voltages. 48-59 - Gaurav S. Wagh, Sumita Mishra:
A distributed approach to privacy-preservation and integrity assurance of smart metering data. 60-65 - Chi Zhang, Yuanyuan Shi, Yize Chen:
BEAR: Physics-Principled Building Environment for Control and Reinforcement Learning. 66-71 - Roozbeh Bostandoost, Bo Sun, Carlee Joe-Wong, Mohammad H. Hajiesmaili:
Near-optimal Online Algorithms for Joint Pricing and Scheduling in EV Charging Networks. 72-83 - Jian Sun, Yaoyu Zhang, Chenye Wu:
Effective Risk-limiting Carbon Emission Aware Economic Dispatch: An Algorithmic Perspective. 84-98 - Mingyu Hao, Keyang Qian, Sid Chi-Kin Chau:
Blockchain-enabled Parametric Solar Energy Insurance via Remote Sensing. 99-108 - Rebecca Bauer, Xinliang Dai, Veit Hagenmeyer:
A Shapley value-based Distributed AC OPF Approach for Redispatch Congestion Cost Allocation. 109-113 - Ruihang Wang, Zhiwei Cao, Xin Zhou, Yonggang Wen, Rui Tan:
Phyllis: Physics-Informed Lifelong Reinforcement Learning for Data Center Cooling Control. 114-126 - Dimitris Mavrokapnidis, Gabe Fierro, Ivan Korolija, Dimitrios Rovas:
A Programming Model for Portable Fault Detection and Diagnosis. 127-131 - Noman Bashir, Yasra Chandio, David E. Irwin, Fatima M. Anwar, Jeremy Gummeson, Prashant J. Shenoy:
Jointly Managing Electrical and Thermal Energy in Solar- and Battery-powered Computer Systems. 132-143 - Seyedali Tabaeiaghdaei, Simon Scherrer, Jonghoon Kwon, Adrian Perrig:
Carbon-Aware Global Routing in Path-Aware Networks. 144-158 - Junyan Su, Qiulin Lin, Minghua Chen:
Follow the Sun and Go with the Wind: Carbon Footprint Optimized Timely E-Truck Transportation. 159-171 - Subina Khanal, Nguyen Ho, Torben Bach Pedersen:
FDA-HeatFlex: Scalable Privacy-Preserving Temperature and Flexibility Prediction for Heat Pumps using Federated Domain Adaptation. 172-183 - Huanyu Yan, Xiaoying Tang:
Incorporating Range Anxiety into Electric Vehicle Highway Charging Decisions: A Bayesian Game Analysis✱. 184-188 - Sofia Taylor, Gabriela Setyawan, Bai Cui, Ahmed S. Zamzam, Line A. Roald:
Managing Wildfire Risk and Promoting Equity through Optimal Configuration of Networked Microgrids. 189-199 - Liuzixuan Lin, Andrew A. Chien:
Adapting Datacenter Capacity for Greener Datacenters and Grid. 200-213 - Adrien Petralia, Philippe Charpentier, Paul Boniol, Themis Palpanas:
Appliance Detection Using Very Low-Frequency Smart Meter Time Series. 214-225 - Dongwei Zhao, Vladimir Dvorkin, Stefanos Delikaraoglou, Alberto J. Lamadrid L., Audun Botterud:
A Scalable Bilevel Framework for Renewable Energy Scheduling. 226-230 - Jonas Van Gompel, Domenico Spina, Chris Develder:
Graph neural networks for fault diagnosis of geographically nearby photovoltaic systems. 231-235 - Dongwei Zhao, Audun Botterud, Marija Ilic:
Uniform Pricing vs Pay as Bid in 100%-Renewables Electricity Markets: A Game-theoretical Analysis. 236-241 - Hsin-Yu Liu, Bharathan Balaji, Rajesh Gupta, Dezhi Hong:
Rule-based Policy Regularization for Reinforcement Learning-based Building Control. 242-265 - Priyanka Mary Mammen, Noman Bashir, Ramachandra Rao Kolluri, Eun-Kyung Lee, Prashant J. Shenoy:
CUFF: A Configurable Uncertainty-driven Forecasting Framework for Green AI Clusters. 266-270 - Kaleb Phipps, Stefan Meisenbacher, Benedikt Heidrich, Marian Turowski, Ralf Mikut, Veit Hagenmeyer:
Loss-Customised Probabilistic Energy Time Series Forecasts Using Automated Hyperparameter Optimisation. 271-286 - Bushra Alshehhi, Areg Karapetyan, Khaled M. Elbassioni, Sid Chi-Kin Chau, Majid Khonji:
DClEVerNet: Deep Combinatorial Learning for Efficient EV Charging Scheduling in Large-scale Networked Facilities. 287-298 - Tianyu Zhao, Min Zhou, Yanfang Mo, Jason Min Wang, Jun Luo, Xiang Pan, Minghua Chen:
Optimizing Demand Response in Distribution Network with Grid Operational Constraints. 299-313 - Steffen Bockrath, Marco Pruckner:
Generalized State of Health Estimation Approach based on Neural Networks for Various Lithium-Ion Battery Chemistries. 314-323 - Yifu Ding, Siyuan Wang, Benjamin Hobbs:
Coordinating renewable microgrids for reliable reserve services: a distributionally robust chance-constrained game. 324-332 - Zhiwei Cao, Ruihang Wang, Xin Zhou, Yonggang Wen:
Toward Model-Assisted Safe Reinforcement Learning for Data Center Cooling Control: A Lyapunov-based Approach. 333-346 - René Schwermer, Ruben Mayer, Hans-Arno Jacobsen:
Energy vs Privacy: Estimating the Ecological Impact of Federated Learning. 347-352 - Elena Giacomazzi, Felix Haag, Konstantin Hopf:
Short-Term Electricity Load Forecasting Using the Temporal Fusion Transformer: Effect of Grid Hierarchies and Data Sources. 353-360 - Xiaoyang Zhang, Dan Wang:
A GNN-based Day Ahead Carbon Intensity Forecasting Model for Cross-Border Power Grids. 361-373 - Fabio Lilliu, Torben Bach Pedersen, Laurynas Siksnys:
Heat FlexOffers: a device-independent and scalable representation of electricity-heat flexibility. 374-385 - Stefan Meisenbacher, Benedikt Heidrich, Tim Martin, Ralf Mikut, Veit Hagenmeyer:
AutoPV: Automated photovoltaic forecasts with limited information using an ensemble of pre-trained models. 386-414 - Marius Hegele, Philipp Metzler, Sebastian Beichter, Friedrich Wiegel, Veit Hagenmeyer:
An Efficient Greedy Algorithm for Real-World Large-Scale Electric Vehicle Charging. 415-426 - Jingping Nie, Stephen Xia, Yanchen Liu, Shengxuan Ding, Lanxiang Hu, Minghui Zhao, Yuang Fan, Mohamed A. Abdel-Aty, Matthias Preindl, Xiaofan Jiang:
A Data-Driven and Human-Centric EV Charging Recommendation System at City-Scale. 427-438 - Nick Harder, Anke Weidlich, Philipp Staudt:
Modeling Participation of Storage Units in Electricity Markets using Multi-Agent Deep Reinforcement Learning. 439-445 - Afia Afrin, Omid Ardakanian:
Adversarial Attacks on Machine Learning-Based State Estimation in Power Distribution Systems. 446-458 - Saidur Rahman, Javier Sales-Ortiz, Omid Ardakanian:
Making a Virtual Power Plant out of Privately Owned Electric Vehicles: From Contract Design to Scheduling. 459-472 - Aparna Kishore, Swapna Thorve, Madhav V. Marathe:
Budget-constrained optimal and equitable retrofitting problems for achieving energy efficiency. 473-484 - Vishnu P. Menon, Yogesh Bichpuriya, Venkatesh Sarangan, Narayanan Rajagopal:
A Best-effort Energy Storage as a Service Model for Supporting Renewable Generators in Day-ahead Electricity Markets. 485-496 - Zhirui Liang, Yury Dvorkin:
Data-Driven Inverse Optimization for Marginal Offer Price Recovery in Electricity Markets. 497-509 - Samuel Talkington, Santiago Grijalva:
Phase Retrieval via Model-Free Power Flow Jacobian Recovery. 510-523 - Karim Boubouh, Robert Basmadjian, Omid Ardakanian, Alexandre Maurer, Rachid Guerraoui:
Efficient and Accurate Peer-to-Peer Training of Machine Learning Based Home Thermal Models. 524-529
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