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Publication search results
found 49 matches
- 2023
- Liang He, Kang G. Shin:
Fingerprinting Battery Health Using Relaxing Voltages. e-Energy 2023: 48-59 - Afia Afrin, Omid Ardakanian:
Adversarial Attacks on Machine Learning-Based State Estimation in Power Distribution Systems. e-Energy 2023: 446-458 - 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. e-Energy 2023: 287-298 - Imad Antonios, Hans-Peter Schwefel:
Assessing the impact of measurement artifacts on energy loss calculation in electrical distribution grids. e-Energy 2023: 22-29 - 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. e-Energy 2023: 132-143 - Rebecca Bauer, Xinliang Dai, Veit Hagenmeyer:
A Shapley value-based Distributed AC OPF Approach for Redispatch Congestion Cost Allocation. e-Energy 2023: 109-113 - Steffen Bockrath, Marco Pruckner:
Generalized State of Health Estimation Approach based on Neural Networks for Various Lithium-Ion Battery Chemistries. e-Energy 2023: 314-323 - Roozbeh Bostandoost, Bo Sun, Carlee Joe-Wong, Mohammad H. Hajiesmaili:
Near-optimal Online Algorithms for Joint Pricing and Scheduling in EV Charging Networks. e-Energy 2023: 72-83 - Karim Boubouh, Robert Basmadjian, Omid Ardakanian, Alexandre Maurer, Rachid Guerraoui:
Efficient and Accurate Peer-to-Peer Training of Machine Learning Based Home Thermal Models. e-Energy 2023: 524-529 - Zhiwei Cao, Ruihang Wang, Xin Zhou, Yonggang Wen:
Toward Model-Assisted Safe Reinforcement Learning for Data Center Cooling Control: A Lyapunov-based Approach. e-Energy 2023: 333-346 - Yifu Ding, Siyuan Wang, Benjamin Hobbs:
Coordinating renewable microgrids for reliable reserve services: a distributionally robust chance-constrained game. e-Energy 2023: 324-332 - Elena Giacomazzi, Felix Haag, Konstantin Hopf:
Short-Term Electricity Load Forecasting Using the Temporal Fusion Transformer: Effect of Grid Hierarchies and Data Sources. e-Energy 2023: 353-360 - Jonas Van Gompel, Domenico Spina, Chris Develder:
Graph neural networks for fault diagnosis of geographically nearby photovoltaic systems. e-Energy 2023: 231-235 - Mingyu Hao, Keyang Qian, Sid Chi-Kin Chau:
Blockchain-enabled Parametric Solar Energy Insurance via Remote Sensing. e-Energy 2023: 99-108 - Nick Harder, Anke Weidlich, Philipp Staudt:
Modeling Participation of Storage Units in Electricity Markets using Multi-Agent Deep Reinforcement Learning. e-Energy 2023: 439-445 - Marius Hegele, Philipp Metzler, Sebastian Beichter, Friedrich Wiegel, Veit Hagenmeyer:
An Efficient Greedy Algorithm for Real-World Large-Scale Electric Vehicle Charging. e-Energy 2023: 415-426 - Subina Khanal, Nguyen Ho, Torben Bach Pedersen:
FDA-HeatFlex: Scalable Privacy-Preserving Temperature and Flexibility Prediction for Heat Pumps using Federated Domain Adaptation. e-Energy 2023: 172-183 - Aparna Kishore, Swapna Thorve, Madhav V. Marathe:
Budget-constrained optimal and equitable retrofitting problems for achieving energy efficiency. e-Energy 2023: 473-484 - Adam Lechowicz, Noman Bashir, John Wamburu, Mohammad Hajiesmaili, Prashant J. Shenoy:
Equitable Network-Aware Decarbonization of Residential Heating at City Scale. e-Energy 2023: 1-13 - Zhirui Liang, Yury Dvorkin:
Data-Driven Inverse Optimization for Marginal Offer Price Recovery in Electricity Markets. e-Energy 2023: 497-509 - Fabio Lilliu, Torben Bach Pedersen, Laurynas Siksnys:
Heat FlexOffers: a device-independent and scalable representation of electricity-heat flexibility. e-Energy 2023: 374-385 - Fabio Lilliu, Torben Bach Pedersen, Laurynas Siksnys, Bijay Neupane:
Uncertain FlexOffers: a scalable, uncertainty-aware model for energy flexibility. e-Energy 2023: 30-41 - Liuzixuan Lin, Andrew A. Chien:
Adapting Datacenter Capacity for Greener Datacenters and Grid. e-Energy 2023: 200-213 - Hsin-Yu Liu, Bharathan Balaji, Rajesh Gupta, Dezhi Hong:
Rule-based Policy Regularization for Reinforcement Learning-based Building Control. e-Energy 2023: 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. e-Energy 2023: 266-270 - Dimitris Mavrokapnidis, Gabe Fierro, Ivan Korolija, Dimitrios Rovas:
A Programming Model for Portable Fault Detection and Diagnosis. e-Energy 2023: 127-131 - Stefan Meisenbacher, Benedikt Heidrich, Tim Martin, Ralf Mikut, Veit Hagenmeyer:
AutoPV: Automated photovoltaic forecasts with limited information using an ensemble of pre-trained models. e-Energy 2023: 386-414 - 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. e-Energy 2023: 485-496 - 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. e-Energy 2023: 427-438 - 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. e-Energy 2023: 42-47
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