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Journal Articles
- 2022
[j2]Alyssa Kody
, Jeffrey T. Scruggs:
MPC Trajectory Feasibility Constraints for Self-Powered Control Systems. IEEE Trans. Autom. Control. 67(12): 6611-6626 (2022)- 2020
- [j1]Alyssa Kody, Jeffrey T. Scruggs:
Control of Impulsively Excited Vibration Energy Harvesters: Design and Viability Assessment. IEEE Trans. Control. Syst. Technol. 28(6): 2336-2351 (2020)
Conference and Workshop Papers
- 2023
- [c5]Alejandro Owen Aquino, Rachel Harris, Alyssa Kody, Daniel K. Molzahn:
Comparing Machine Learning and Optimization Approaches for the N - k Interdiction Problem Considering Load Variability. HICSS 2023: 2766-2775 - 2022
- [c4]Alyssa Kody, Amanda West, Daniel K. Molzahn:
Sharing the Load: Considering Fairness in De-energization Scheduling to Mitigate Wildfire Ignition Risk using Rolling Optimization. CDC 2022: 5705-5712 - 2019
- [c3]Alyssa Kody, Nathan Tom, Jeffrey T. Scruggs:
Model Predictive Control of a Wave Energy Converter Using Duality Techniques. ACC 2019: 5444-5451 - 2018
- [c2]Alyssa Kody, Jeffrey T. Scruggs:
Optimal self-powered control of dynamic systems: Duality techniques. ACC 2018: 2675-2680 - 2017
- [c1]Alyssa Kody, Jeffrey T. Scruggs:
Optimal packet scheduling for a piezoelectric energy harvesting node. CDC 2017: 133-138
Informal and Other Publications
- 2024
- [i6]Madeleine Pollack, Ryan Piansky, Swati Gupta, Alyssa Kody, Daniel K. Molzahn:
Equitably allocating wildfire resilience investments for power grids: The curse of aggregation and vulnerability indices. CoRR abs/2404.11520 (2024) - [i5]Ryan Piansky, Georgia Stinchfield, Alyssa Kody, Daniel K. Molzahn, Jean-Paul Watson:
Long Duration Battery Sizing, Siting, and Operation Under Wildfire Risk Using Progressive Hedging. CoRR abs/2404.12296 (2024) - 2022
- [i4]Alyssa Kody, Ryan Piansky, Daniel K. Molzahn:
Optimizing Transmission Infrastructure Investments to Support Line De-energization for Mitigating Wildfire Ignition Risk. CoRR abs/2203.10176 (2022) - [i3]Alyssa Kody, Amanda West, Daniel K. Molzahn:
Sharing the Load: Considering Fairness in De-energization Scheduling to Mitigate Wildfire Ignition Risk using Rolling Optimization. CoRR abs/2204.06543 (2022) - 2021
- [i2]Alyssa Kody, Samuel Chevalier, Spyros Chatzivasileiadis, Daniel K. Molzahn:
Modeling the AC Power Flow Equations with Optimally Compact Neural Networks: Application to Unit Commitment. CoRR abs/2110.11269 (2021) - [i1]Sihan Zeng, Alyssa Kody, Youngdae Kim, Kibaek Kim, Daniel K. Molzahn:
A Reinforcement Learning Approach to Parameter Selection for Distributed Optimization in Power Systems. CoRR abs/2110.11991 (2021)
Coauthor Index
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