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2020 – today
- 2024
[j7]David Biagioni, Xiangyu Zhang
, Christiane Adcock, Michael N. Sinner, Peter A. Graf, Jennifer King:
Comparative analysis of grid-interactive building control algorithms: From model-based to learning-based approaches. Eng. Appl. Artif. Intell. 133: 108498 (2024)- [c26]Sam Helman, Kinshuk Panda, Deepthi Vaidhynathan, Bernard Knueven, Devon Sigler, Wesley Jones, Jennifer King:
SEAS Communication Engine: An Extensible, Flexible Wrapper for Cosimulation Agents. ISGT 2024: 1-5 - 2023
- [c25]Christiane Adcock, Gianluca Iaccarino, Jennifer King:
Differentiable Control for Adaptive Wake Steering. ACC 2023: 165-170 - [c24]Genevieve M. Starke, Charles Meneveau, Jennifer King, Dennice F. Gayme:
Yaw-Augmented Control for Wind Farm Power Tracking. ACC 2023: 184-191 - [c23]Zachary Tully, Genevieve M. Starke, Kathryn E. Johnson, Jennifer King:
An Investigation of Heuristic Control Strategies for Multi-Electrolyzer Wind-Hydrogen Systems Considering Degradation. CCTA 2023: 817-822 - [c22]Aoife Henry, Michael N. Sinner, Jennifer King, Lucy Y. Pao:
Online Learning of Effective Turbine Wind Speed in Wind Farms. CDC 2023: 1569-1574 - [c21]Jennifer King, Daniel E. Ho, Arushi Gupta, Victor Wu, Helen Webley-Brown:
The Privacy-Bias Tradeoff: Data Minimization and Racial Disparity Assessments in U.S. Government. FAccT 2023: 492-505 - [c20]Jibonananda Sanyal, Melissa R. Dumas, Sangkeun Matt Lee, Supriya Chinthavali, Jennifer King, Srijib Mukherjee:
Understanding the Computing and Analysis Needs for Resiliency of Power Systems from Severe Weather Impacts. PASC 2023: 25:1-25:10 - 2022
- [j6]Kalpesh Chaudhari, Patrick M. Connor, Joshua Comden, Jennifer King:
Learning Assisted Demand Charge Mitigation for Workplace Electric Vehicle Charging. IEEE Access 10: 48283-48291 (2022) - [j5]David Biagioni, Peter A. Graf, Xiangyu Zhang, Ahmed S. Zamzam, Kyri Baker, Jennifer King:
Learning-Accelerated ADMM for Distributed DC Optimal Power Flow. IEEE Control. Syst. Lett. 6: 1-6 (2022) - [c19]Dylan Wald, Kathryn E. Johnson, Christopher J. Bay, Jennifer King, Rohit Chintala:
Grid-Interactive Electric Vehicle and Building Coordination Using Coupled Distributed Control. ACC 2022: 2539-2545 - [c18]David Biagioni, Xiangyu Zhang, Dylan Wald, Deepthi Vaidhynathan, Rohit Chintala, Jennifer King, Ahmed S. Zamzam:
PowerGridworld: a framework for multi-agent reinforcement learning in power systems. e-Energy 2022: 565-570 - [p1]Vasiliki Diamantopoulou, Costas Lambrinoudakis, Jennifer King, Stefanos Gritzalis:
EU GDPR: Toward a Regulatory Initiative for Deploying a Private Digital Era. Modern Socio-Technical Perspectives on Privacy 2022: 427-448 - [i4]David Biagioni, Xiangyu Zhang, Christiane Adcock, Michael N. Sinner, Peter A. Graf, Jennifer King:
From Model-Based to Model-Free: Learning Building Control for Demand Response. CoRR abs/2210.10203 (2022) - 2021
- [j4]Chinmay Shah, Jennifer King, Richard W. Wies:
Distributed ADMM Using Private Blockchain for Power Flow Optimization in Distribution Network With Coupled and Mixed-Integer Constraints. IEEE Access 9: 46560-46572 (2021) - [c17]David Biagioni, Peter A. Graf, Xiangyu Zhang, Ahmed S. Zamzam, Kyri Baker, Jennifer King:
Learning-Accelerated ADMM for Distributed DC Optimal Power Flow. ACC 2021: 576-581 - [c16]Eric Simley, Paul A. Fleming, Jennifer King, Michael N. Sinner:
Wake Steering Wind Farm Control With Preview Wind Direction Information. ACC 2021: 1783-1789 - [c15]Sanjana Vijayshankar, Paul Stanfel, Jennifer King, Evangelia Spyrou, Kathryn E. Johnson:
Deep Reinforcement Learning for Automatic Generation Control of Wind Farms. ACC 2021: 1796-1802 - [c14]Genevieve M. Starke, Paul Stanfel, Charles Meneveau, Dennice F. Gayme, Jennifer King:
Network based estimation of wind farm power and velocity data under changing wind direction. ACC 2021: 1803-1810 - [c13]Sanjana Vijayshankar, Jennifer King, Peter Seiler:
Wind Power Forecasting using LSTMs. CDC 2021: 3658-3663 - [c12]Jennifer King, Daniel Pascual, Maria Paola Clarizia, Peter de Maagt:
Can GNSS-Reflectometry Support Global Monitoring of Floating Matter in the Ocean? IGARSS 2021: 7520-7521 - [i3]David Biagioni, Xiangyu Zhang, Dylan Wald, Deepthi Vaidhynathan, Rohit Chintala, Jennifer King, Ahmed S. Zamzam:
PowerGridworld: A Framework for Multi-Agent Reinforcement Learning in Power Systems. CoRR abs/2111.05969 (2021) - 2020
- [c11]Michael N. Sinner, Lucy Y. Pao, Jennifer King:
Estimation of Large-Scale Wind Field Characteristics using Supervisory Control and Data Acquisition Measurements. ACC 2020: 2357-2362 - [c10]Paul Stanfel, Kathryn E. Johnson, Christopher J. Bay, Jennifer King:
A Distributed Reinforcement Learning Yaw Control Approach for Wind Farm Energy Capture Maximization. ACC 2020: 4065-4070 - [c9]David J. Pasley, Marco M. Nicotra, Lucy Y. Pao, Jennifer King, Christopher J. Bay:
Mobile Sensing for Wind Field Estimation in Wind Farms. ACC 2020: 4071-4076 - [c8]Aaron Barker, Benjamin Anderson, Jennifer King:
Resilient Autonomous Wind Farms. ACC 2020: 4836-4842 - [c7]Xiangyu Zhang, Dave Biagioni, Peter A. Graf, Jennifer King:
Cooperative Load Scheduling for Multiple Aggregators Using Hierarchical ADMM. ISGT 2020: 1-5 - [i2]Tianshi Li, Jackie Yang, Cori Faklaris, Jennifer King, Yuvraj Agarwal, Laura Dabbish, Jason I. Hong:
Decentralized is not risk-free: Understanding public perceptions of privacy-utility trade-offs in COVID-19 contact-tracing apps. CoRR abs/2005.11957 (2020)
2010 – 2019
- 2019
- [j3]Jennifer King:
"Becoming Part of Something Bigger": Direct to Consumer Genetic Testing, Privacy, and Personal Disclosure. Proc. ACM Hum. Comput. Interact. 3(CSCW): 158:1-158:33 (2019) - [i1]Dave Biagioni, Peter A. Graf, Xiangyu Zhang, Jennifer King:
Learning-Accelerated ADMM for Distributed Optimal Power Flow. CoRR abs/1911.03019 (2019) - 2016
- [c6]Luke Stark, Jennifer King, Xinru Page, Airi Lampinen, Jessica Vitak, Pamela J. Wisniewski, Tara Whalen, Nathaniel Good:
Bridging the Gap between Privacy by Design and Privacy in Practice. CHI Extended Abstracts 2016: 3415-3422 - [c5]Rena Coen, Jennifer King, Richmond Y. Wong:
The Privacy Policy Paradox. WPI@SOUPS 2016 - 2013
- [c4]Christopher Thompson, Maritza L. Johnson, Serge Egelman, David A. Wagner, Jennifer King:
When it's better to ask forgiveness than get permission: attribution mechanisms for smartphone resources. SOUPS 2013: 1:1-1:14 - 2011
- [c3]Jennifer King, Airi Lampinen, Alex Smolen:
Privacy: is there an app for that? SOUPS 2011: 12
2000 – 2009
- 2009
- [j2]Jennifer King:
Safeguards in a World of Ambient Intelligence (The International Library of Ethics, Law and Technology), edited by David Wright, Serge Gutwirth, Michael Friedewald, Elena Vildjiounaite, and Yves Punie. London: Springer, 2008, 291 pp. Cloth $159.00. ISBN 978-1-4020-6661-0. Inf. Soc. 25(4): 286-287 (2009) - 2008
- [c2]Jennifer King, Andrew McDiarmid:
Where's The Beep? Security, Privacy, and User Misunderstandings of RFID. UPSEC 2008 - 2007
- [j1]Marci Meingast, Jennifer King, Deirdre K. Mulligan:
Security and Privacy Risks of Embedded RFID in Everyday Things: the e-Passport and Beyond. J. Commun. 2(7): 36-48 (2007) - [c1]Serge Egelman, Jennifer King, Robert C. Miller, Nick Ragouzis, Erika Shehan:
Security user studies: methodologies and best practices. CHI Extended Abstracts 2007: 2833-2836
Coauthor Index
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last updated on 2024-09-07 02:04 CEST by the dblp team
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