Alyssa Kody

According to our database, Alyssa Kody authored at least 10 papers between 2017 and 2023.

Collaborative distances:

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

2023

Comparing Machine Learning and Optimization Approaches for the N - k Interdiction Problem Considering Load Variability.

Alejandro Owen Aquino, Rachel Harris, Alyssa Kody, Daniel K. Molzahn

Proceedings of the 56th Hawaii International Conference on System Sciences, 2023

2022

MPC Trajectory Feasibility Constraints for Self-Powered Control Systems.

Alyssa Kody, Jeffrey T. Scruggs

IEEE Trans. Autom. Control., 2022

Optimizing Transmission Infrastructure Investments to Support Line De-energization for Mitigating Wildfire Ignition Risk.

Alyssa Kody, Ryan Piansky, Daniel K. Molzahn

CoRR, 2022

Sharing the Load: Considering Fairness in De-energization Scheduling to Mitigate Wildfire Ignition Risk using Rolling Optimization.

Alyssa Kody, Amanda West, Daniel K. Molzahn

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

A Reinforcement Learning Approach to Parameter Selection for Distributed Optimization in Power Systems.

Sihan Zeng, Alyssa Kody, Youngdae Kim, Kibaek Kim, Daniel K. Molzahn

CoRR, 2021

Modeling the AC Power Flow Equations with Optimally Compact Neural Networks: Application to Unit Commitment.

Alyssa Kody, Samuel Chevalier, Spyros Chatzivasileiadis, Daniel K. Molzahn

CoRR, 2021

2020

Control of Impulsively Excited Vibration Energy Harvesters: Design and Viability Assessment.

Alyssa Kody, Jeffrey T. Scruggs

IEEE Trans. Control. Syst. Technol., 2020

2019

Model Predictive Control of a Wave Energy Converter Using Duality Techniques.

Alyssa Kody, Nathan Tom, Jeffrey T. Scruggs

Proceedings of the 2019 American Control Conference, 2019

2018

Optimal self-powered control of dynamic systems: Duality techniques.

Alyssa Kody, Jeffrey T. Scruggs

Proceedings of the 2018 Annual American Control Conference, 2018

2017

Optimal packet scheduling for a piezoelectric energy harvesting node.

Alyssa Kody, Jeffrey T. Scruggs

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017