Jennifer King

According to our database, Jennifer King authored at least 35 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SEAS Communication Engine: An Extensible, Flexible Wrapper for Cosimulation Agents.

Sam Helman, Kinshuk Panda, Deepthi Vaidhynathan, Bernard Knueven, Devon Sigler, Wesley Jones, Jennifer King

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2024

2023

Understanding the Computing and Analysis Needs for Resiliency of Power Systems from Severe Weather Impacts.

Jibonananda Sanyal, Melissa R. Dumas, Sangkeun Matt Lee, Supriya Chinthavali, Jennifer King, Srijib Mukherjee

Proceedings of the Platform for Advanced Scientific Computing Conference, 2023

The Privacy-Bias Tradeoff: Data Minimization and Racial Disparity Assessments in U.S. Government.

Jennifer King, Daniel Ho, Arushi Gupta, Victor Wu, Helen Webley-Brown

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Online Learning of Effective Turbine Wind Speed in Wind Farms.

Aoife Henry, Michael N. Sinner, Jennifer King, Lucy Y. Pao

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

An Investigation of Heuristic Control Strategies for Multi-Electrolyzer Wind-Hydrogen Systems Considering Degradation.

Zachary Tully, Genevieve M. Starke, Kathryn E. Johnson, Jennifer King

Proceedings of the IEEE Conference on Control Technology and Applications, 2023

Yaw-Augmented Control for Wind Farm Power Tracking.

Genevieve M. Starke, Charles Meneveau, Jennifer King, Dennice F. Gayme

Proceedings of the American Control Conference, 2023

Differentiable Control for Adaptive Wake Steering.

Christiane Adcock, Gianluca Iaccarino, Jennifer King

Proceedings of the American Control Conference, 2023

2022

Learning-Accelerated ADMM for Distributed DC Optimal Power Flow.

David Biagioni, Peter A. Graf, Xiangyu Zhang, Ahmed S. Zamzam, Kyri Baker, Jennifer King

IEEE Control. Syst. Lett., 2022

From Model-Based to Model-Free: Learning Building Control for Demand Response.

David Biagioni, Xiangyu Zhang, Christiane Adcock, Michael N. Sinner, Peter A. Graf, Jennifer King

CoRR, 2022

Learning Assisted Demand Charge Mitigation for Workplace Electric Vehicle Charging.

Kalpesh Chaudhari, Patrick M. Connor, Joshua Comden, Jennifer King

IEEE Access, 2022

PowerGridworld: a framework for multi-agent reinforcement learning in power systems.

David Biagioni, Xiangyu Zhang, Dylan Wald, Deepthi Vaidhynathan, Rohit Chintala, Jennifer King, Ahmed S. Zamzam

Proceedings of the e-Energy '22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022, 2022

Grid-Interactive Electric Vehicle and Building Coordination Using Coupled Distributed Control.

Dylan Wald, Kathryn E. Johnson, Christopher J. Bay, Jennifer King, Rohit Chintala

Proceedings of the American Control Conference, 2022

EU GDPR: Toward a Regulatory Initiative for Deploying a Private Digital Era.

Vasiliki Diamantopoulou, Costas Lambrinoudakis, Jennifer King, Stefanos Gritzalis

Modern Socio-Technical Perspectives on Privacy, 2022

2021

Distributed ADMM Using Private Blockchain for Power Flow Optimization in Distribution Network With Coupled and Mixed-Integer Constraints.

Chinmay Shah, Jennifer King, Richard W. Wies

IEEE Access, 2021

Can GNSS-Reflectometry Support Global Monitoring of Floating Matter in the Ocean?

Jennifer King, Daniel Pascual, Maria Paola Clarizia, Peter de Maagt

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Wind Power Forecasting using LSTMs.

Sanjana Vijayshankar, Jennifer King, Peter Seiler

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Deep Reinforcement Learning for Automatic Generation Control of Wind Farms.

Sanjana Vijayshankar, Paul Stanfel, Jennifer King, Evangelia Spyrou, Kathryn E. Johnson

Proceedings of the 2021 American Control Conference, 2021

Network based estimation of wind farm power and velocity data under changing wind direction.

Genevieve M. Starke, Paul Stanfel, Charles Meneveau, Dennice F. Gayme, Jennifer King

Proceedings of the 2021 American Control Conference, 2021

Wake Steering Wind Farm Control With Preview Wind Direction Information.

Eric Simley, Paul A. Fleming, Jennifer King, Michael N. Sinner

Proceedings of the 2021 American Control Conference, 2021

2020

Decentralized is not risk-free: Understanding public perceptions of privacy-utility trade-offs in COVID-19 contact-tracing apps.

Tianshi Li, Jackie Yang, Cori Faklaris, Jennifer King, Yuvraj Agarwal, Laura Dabbish, Jason I. Hong

CoRR, 2020

Cooperative Load Scheduling for Multiple Aggregators Using Hierarchical ADMM.

Xiangyu Zhang, Dave Biagioni, Peter A. Graf, Jennifer King

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2020

A Distributed Reinforcement Learning Yaw Control Approach for Wind Farm Energy Capture Maximization.

Paul Stanfel, Kathryn E. Johnson, Christopher J. Bay, Jennifer King

Proceedings of the 2020 American Control Conference, 2020

Estimation of Large-Scale Wind Field Characteristics using Supervisory Control and Data Acquisition Measurements.

Michael N. Sinner, Lucy Y. Pao, Jennifer King

Proceedings of the 2020 American Control Conference, 2020

Mobile Sensing for Wind Field Estimation in Wind Farms.

David J. Pasley, Marco M. Nicotra, Lucy Y. Pao, Jennifer King, Christopher J. Bay

Proceedings of the 2020 American Control Conference, 2020

Resilient Autonomous Wind Farms.

Aaron Barker, Benjamin Anderson, Jennifer King

Proceedings of the 2020 American Control Conference, 2020

2019

"Becoming Part of Something Bigger": Direct to Consumer Genetic Testing, Privacy, and Personal Disclosure.

Jennifer King

Proc. ACM Hum. Comput. Interact., 2019

Learning-Accelerated ADMM for Distributed Optimal Power Flow.

Dave Biagioni, Peter A. Graf, Xiangyu Zhang, Jennifer King

CoRR, 2019

2016

The Privacy Policy Paradox.

Rena Coen, Jennifer King, Richmond Y. Wong

Proceedings of the Workshop on Privacy Indicators, 2016

Bridging the Gap between Privacy by Design and Privacy in Practice.

Luke Stark, Jennifer King, Xinru Page, Airi Lampinen, Jessica Vitak, Pamela J. Wisniewski, Tara Whalen, Nathaniel Good

Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

2013

When it's better to ask forgiveness than get permission: attribution mechanisms for smartphone resources.

Christopher Thompson, Maritza L. Johnson, Serge Egelman, David A. Wagner, Jennifer King

Proceedings of the Symposium On Usable Privacy and Security, 2013

2011

Privacy: is there an app for that?

Jennifer King, Airi Lampinen, Alex Smolen

Proceedings of the Symposium On Usable Privacy and Security, 2011

2009

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.

Jennifer King

Inf. Soc., 2009

2008

Where's The Beep? Security, Privacy, and User Misunderstandings of RFID.

Jennifer King, Andrew McDiarmid

Proceedings of the Usability, Psychology, and Security, 2008

2007

Security and Privacy Risks of Embedded RFID in Everyday Things: the e-Passport and Beyond.

Marci Meingast, Jennifer King, Deirdre K. Mulligan

J. Commun., 2007

Security user studies: methodologies and best practices.

Serge Egelman, Jennifer King, Robert C. Miller, Nick Ragouzis, Erika Shehan

Proceedings of the Extended Abstracts Proceedings of the 2007 Conference on Human Factors in Computing Systems, 2007