Optimal packet scheduling for a piezoelectric energy harvesting node. - Alyssa Kody; Jeffrey T. Scruggs (CDC, 2017)

Optimal self-powered control of dynamic systems: Duality techniques. - Alyssa Kody; Jeffrey T. Scruggs (ACC, 2018)

Model Predictive Control of a Wave Energy Converter Using Duality Techniques. - Alyssa Kody; Nathan Tom; Jeffrey T. Scruggs (ACC, 2019)

Control of Impulsively Excited Vibration Energy Harvesters: Design and Viability Assessment. - Alyssa Kody; Jeffrey T. Scruggs (IEEE Trans. Control. Syst. Technol., 2020)

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)

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)

Sharing the Load: Considering Fairness in De-energization Scheduling to Mitigate Wildfire Ignition Risk using Rolling Optimization. - Alyssa Kody; Amanda West; Daniel K. Molzahn (CDC, 2022)

Optimizing Transmission Infrastructure Investments to Support Line De-energization for Mitigating Wildfire Ignition Risk. - Alyssa Kody; Ryan Piansky; Daniel K. Molzahn (CoRR, 2022)

MPC Trajectory Feasibility Constraints for Self-Powered Control Systems. - Alyssa Kody; Jeffrey T. Scruggs (IEEE Trans. Autom. Control., 2022)

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 (HICSS, 2023)

Equitably allocating wildfire resilience investments for power grids: The curse of aggregation and vulnerability indices. - Madeleine Pollack; Ryan Piansky; Swati Gupta 001; Alyssa Kody; Daniel K. Molzahn (CoRR, 2024)

Long Duration Battery Sizing, Siting, and Operation Under Wildfire Risk Using Progressive Hedging. - Ryan Piansky; Georgia Stinchfield; Alyssa Kody; Daniel K. Molzahn; Jean-Paul Watson (CoRR, 2024)