Time-Varying Robustness Margins for Wind Turbines. - Sanjana Vijayshankar; Peter J. Seiler (ACC, 2018)

Reduced-order Aggregate Dynamical Model for Wind Farms. - Sanjana Vijayshankar; Victor Purba; Peter J. Seiler; Sairaj V. Dhople (ACC, 2019)

Dynamic Mode Decomposition and Robust Estimation: Case Study of a 2D Turbulent Boussinesq Flow. - Sanjana Vijayshankar; Saleh Nabi; Ankush Chakrabarty; Piyush Grover; Mouhacine Benosman (ACC, 2020)

Deep Reinforcement Learning for Automatic Generation Control of Wind Farms. - Sanjana Vijayshankar; Paul Stanfel; Jennifer King; Evangelia Spyrou; Kathryn E. Johnson (ACC, 2021)

Wind Power Forecasting using LSTMs. - Sanjana Vijayshankar; Jennifer King; Peter Seiler 001 (CDC, 2021)

Co-design of reduced-order models and observers from thermo-fluid data. - Sanjana Vijayshankar; Ankush Chakrabarty; Piyush Grover; Saleh Nabi (IFAC J. Syst. Control., 2022)

Demystifying Cyberattacks: Potential for Securing Energy Systems With Explainable AI. - Shuva Paul; Sanjana Vijayshankar; Richard Macwan (ICNC, 2024)

Machine Learning for Equitable Load Shedding: Real-time Solution via Learning Binding Constraints. - Yuqi Zhou; Joseph Severino; Sanjana Vijayshankar; Juliette Ugirumurera; Jibo Sanyal (CoRR, 2024)

Optimizing Electrolyzers: Simultaneous Degradation Minimization and Hydrogen Flow Maximization with Mixed-Integer Programming. - Sanjana Vijayshankar; Zachary Tully; Mariya N. Koleva; Evan Reznicek; Kathryn E. Johnson; Jennifer King (ACC, 2025)

Machine Learning for Fairness-Aware Load Shedding: A Real-Time Solution via Identifying Binding Constraints. - Yuqi Zhou; Joseph Severino; Sanjana Vijayshankar; Juliette Ugirumurera; Jibo Sanyal (ACC, 2025)