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e-Energy
Publications
2024
Philipp Wiesner
,
Ramin Khalili
,
Dennis Grinwald
,
Pratik Agrawal
,
Lauritz Thamsen
,
Odej Kao
FedZero: Leveraging Renewable Excess Energy in Federated Learning.
e-Energy
(2024)
Russell Lee
,
Bo Sun
,
Mohammad Hajiesmaili
,
John C. S. Lui
Online Search with Predictions: Pareto-optimal Algorithm and its Applications in Energy Markets.
e-Energy
(2024)
Mahsa Sahebdel
,
Ali Zeynali
,
Noman Bashir
,
Prashant J. Shenoy
,
Mohammad Hajiesmaili
A Holistic Approach for Equity-aware Carbon Reduction of the Ridesharing Platforms.
e-Energy
(2024)
Yize Chen
,
Deepjyoti Deka
,
Yuanyuan Shi
Contributions of Individual Generators to Nodal Carbon Emissions.
e-Energy
(2024)
Diptyaroop Maji
,
Noman Bashir
,
David E. Irwin
,
Prashant J. Shenoy
,
Ramesh K. Sitaraman
The Green Mirage: Impact of Location- and Market-based Carbon Intensity Estimation on Carbon Optimization Efficacy.
e-Energy
(2024)
The 15th ACM International Conference on Future and Sustainable Energy Systems, e-Energy 2024, Singapore, June 4-7, 2024
e-Energy
(2024)
Tianyu Zhang
,
Omid Ardakanian
Comfort-aware Optimal Space Planning in Shared Workspaces.
e-Energy
(2024)
2023
Seyedali Tabaeiaghdaei
,
Simon Scherrer
,
Jonghoon Kwon
,
Adrian Perrig
Carbon-Aware Global Routing in Path-Aware Networks.
e-Energy
(2023)
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.
e-Energy
(2023)
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)
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)
Liuzixuan Lin
,
Andrew A. Chien
Adapting Datacenter Capacity for Greener Datacenters and Grid.
e-Energy
(2023)
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)
Adam Lechowicz
,
Noman Bashir
,
John Wamburu
,
Mohammad Hajiesmaili
,
Prashant J. Shenoy
Equitable Network-Aware Decarbonization of Residential Heating at City Scale.
e-Energy
(2023)
Rebecca Bauer
,
Xinliang Dai
,
Veit Hagenmeyer
A Shapley value-based Distributed AC OPF Approach for Redispatch Congestion Cost Allocation.
e-Energy
(2023)
Huanyu Yan
,
Xiaoying Tang
Incorporating Range Anxiety into Electric Vehicle Highway Charging Decisions: A Bayesian Game Analysis✱.
e-Energy
(2023)
Mingyu Hao
,
Keyang Qian
,
Sid Chi-Kin Chau
Blockchain-enabled Parametric Solar Energy Insurance via Remote Sensing.
e-Energy
(2023)
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)
Samuel Talkington
,
Santiago Grijalva
Phase Retrieval via Model-Free Power Flow Jacobian Recovery.
e-Energy
(2023)
Yifu Ding
,
Siyuan Wang
,
Benjamin Hobbs
Coordinating renewable microgrids for reliable reserve services: a distributionally robust chance-constrained game.
e-Energy
(2023)
Imad Antonios
,
Hans-Peter Schwefel
Assessing the impact of measurement artifacts on energy loss calculation in electrical distribution grids.
e-Energy
(2023)
Zhuo Wei
,
Frits de Nijs
,
Jinhao Li
,
Hao Wang
Model-Free Approach to Fair Solar PV Curtailment Using Reinforcement Learning.
e-Energy
(2023)
Gaurav S. Wagh
,
Sumita Mishra
A distributed approach to privacy-preservation and integrity assurance of smart metering data.
e-Energy
(2023)
Afia Afrin
,
Omid Ardakanian
Adversarial Attacks on Machine Learning-Based State Estimation in Power Distribution Systems.
e-Energy
(2023)
Liang He
,
Kang G. Shin
Fingerprinting Battery Health Using Relaxing Voltages.
e-Energy
(2023)
Jonas Van Gompel
,
Domenico Spina
,
Chris Develder
Graph neural networks for fault diagnosis of geographically nearby photovoltaic systems.
e-Energy
(2023)
Zhirui Liang
,
Yury Dvorkin
Data-Driven Inverse Optimization for Marginal Offer Price Recovery in Electricity Markets.
e-Energy
(2023)
Nick Harder
,
Anke Weidlich
,
Philipp Staudt
Modeling Participation of Storage Units in Electricity Markets using Multi-Agent Deep Reinforcement Learning.
e-Energy
(2023)
Chi Zhang
,
Yuanyuan Shi
,
Yize Chen
BEAR: Physics-Principled Building Environment for Control and Reinforcement Learning.
e-Energy
(2023)
René Schwermer
,
Ruben Mayer
,
Hans-Arno Jacobsen
Energy vs Privacy: Estimating the Ecological Impact of Federated Learning.
e-Energy
(2023)
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)
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)
Proceedings of the 14th ACM International Conference on Future Energy Systems, e-Energy 2023, Orlando, FL, USA, June 20-23, 2023
e-Energy
(2023)
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)
Kaleb Phipps
,
Stefan Meisenbacher
,
Benedikt Heidrich
,
Marian Turowski
,
Ralf Mikut
,
Veit Hagenmeyer
Loss-Customised Probabilistic Energy Time Series Forecasts Using Automated Hyperparameter Optimisation.
e-Energy
(2023)
Hsin-Yu Liu
,
Bharathan Balaji
,
Rajesh Gupta
,
Dezhi Hong
Rule-based Policy Regularization for Reinforcement Learning-based Building Control.
e-Energy
(2023)
Saidur Rahman
,
Javier Sales-Ortiz
,
Omid Ardakanian
Making a Virtual Power Plant out of Privately Owned Electric Vehicles: From Contract Design to Scheduling.
e-Energy
(2023)
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)
Fabio Lilliu
,
Torben Bach Pedersen
,
Laurynas Siksnys
Heat FlexOffers: a device-independent and scalable representation of electricity-heat flexibility.
e-Energy
(2023)
Jian Sun
,
Yaoyu Zhang
,
Chenye Wu
Effective Risk-limiting Carbon Emission Aware Economic Dispatch: An Algorithmic Perspective.
e-Energy
(2023)
Dongwei Zhao
,
Vladimir Dvorkin
,
Stefanos Delikaraoglou
,
Alberto J. Lamadrid L.
,
Audun Botterud
A Scalable Bilevel Framework for Renewable Energy Scheduling.
e-Energy
(2023)
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)
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)
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)
Adrien Petralia
,
Philippe Charpentier
,
Paul Boniol
,
Themis Palpanas
Appliance Detection Using Very Low-Frequency Smart Meter Time Series.
e-Energy
(2023)
Ruihang Wang
,
Zhiwei Cao
,
Xin Zhou
,
Yonggang Wen
,
Rui Tan
Phyllis: Physics-Informed Lifelong Reinforcement Learning for Data Center Cooling Control.
e-Energy
(2023)
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)
Priyanka Mary Mammen
,
Noman Bashir
,
Ramachandra Rao Kolluri
,
Eun Kung Lee
,
Prashant J. Shenoy
CUFF: A Configurable Uncertainty-driven Forecasting Framework for Green AI Clusters.
e-Energy
(2023)
Xiaoyang Zhang
,
Dan Wang
A GNN-based Day Ahead Carbon Intensity Forecasting Model for Cross-Border Power Grids.
e-Energy
(2023)
Aparna Kishore
,
Swapna Thorve
,
Madhav V. Marathe
Budget-constrained optimal and equitable retrofitting problems for achieving energy efficiency.
e-Energy
(2023)