Jennifer King

Orcid: 0000-0001-6219-0098

According to our database1, Jennifer King authored at least 37 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Comparative analysis of grid-interactive building control algorithms: From model-based to learning-based approaches.
Eng. Appl. Artif. Intell., 2024

SEAS Communication Engine: An Extensible, Flexible Wrapper for Cosimulation Agents.
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.
Proceedings of the Platform for Advanced Scientific Computing Conference, 2023

The Privacy-Bias Tradeoff: Data Minimization and Racial Disparity Assessments in U.S. Government.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Online Learning of Effective Turbine Wind Speed in Wind Farms.
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.
Proceedings of the IEEE Conference on Control Technology and Applications, 2023

Yaw-Augmented Control for Wind Farm Power Tracking.
Proceedings of the American Control Conference, 2023

Differentiable Control for Adaptive Wake Steering.
Proceedings of the American Control Conference, 2023

2022
Learning-Accelerated ADMM for Distributed DC Optimal Power Flow.
IEEE Control. Syst. Lett., 2022

From Model-Based to Model-Free: Learning Building Control for Demand Response.
CoRR, 2022

Learning Assisted Demand Charge Mitigation for Workplace Electric Vehicle Charging.
IEEE Access, 2022

PowerGridworld: a framework for multi-agent reinforcement learning in power systems.
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.
Proceedings of the American Control Conference, 2022

EU GDPR: Toward a Regulatory Initiative for Deploying a Private Digital Era.
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.
IEEE Access, 2021

Can GNSS-Reflectometry Support Global Monitoring of Floating Matter in the Ocean?
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Wind Power Forecasting using LSTMs.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Deep Reinforcement Learning for Automatic Generation Control of Wind Farms.
Proceedings of the 2021 American Control Conference, 2021

Network based estimation of wind farm power and velocity data under changing wind direction.
Proceedings of the 2021 American Control Conference, 2021

Wake Steering Wind Farm Control With Preview Wind Direction Information.
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.
CoRR, 2020

Cooperative Load Scheduling for Multiple Aggregators Using Hierarchical ADMM.
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.
Proceedings of the 2020 American Control Conference, 2020

Estimation of Large-Scale Wind Field Characteristics using Supervisory Control and Data Acquisition Measurements.
Proceedings of the 2020 American Control Conference, 2020

Mobile Sensing for Wind Field Estimation in Wind Farms.
Proceedings of the 2020 American Control Conference, 2020

Resilient Autonomous Wind Farms.
Proceedings of the 2020 American Control Conference, 2020

2019
"Becoming Part of Something Bigger": Direct to Consumer Genetic Testing, Privacy, and Personal Disclosure.
Proc. ACM Hum. Comput. Interact., 2019

Learning-Accelerated ADMM for Distributed Optimal Power Flow.
CoRR, 2019

2018
Privacy, Disclosure, and Social Exchange Theory
PhD thesis, 2018

2016
The Privacy Policy Paradox.
Proceedings of the Workshop on Privacy Indicators, 2016

Bridging the Gap between Privacy by Design and Privacy in Practice.
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.
Proceedings of the Symposium On Usable Privacy and Security, 2013

2011
Privacy: is there an app for that?
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.
Inf. Soc., 2009

2008
Where's The Beep? Security, Privacy, and User Misunderstandings of RFID.
Proceedings of the Usability, Psychology, and Security, 2008

2007
Security and Privacy Risks of Embedded RFID in Everyday Things: the e-Passport and Beyond.
J. Commun., 2007

Security user studies: methodologies and best practices.
Proceedings of the Extended Abstracts Proceedings of the 2007 Conference on Human Factors in Computing Systems, 2007


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