Physically Meaningful Grid Analytics on Voltage Measurements using Graph Spectra. - Mohini Bariya; Keith Moffat; Alexandra von Meier (ISGT, 2020)

Real Time Effective Impedance Estimation for Power System State Estimation. - Keith Moffat; Mohini Bariya; Alexandra von Meier (ISGT, 2020)

An Extensible Software and Communication Platform for Distributed Energy Resource Management. - Gabe Fierro; Keith Moffat; Jasper Pakshong; Alexandra von Meier (SmartGridComm, 2020)

Unsupervised Impedance and Topology Estimation of Distribution Networks - Limitations and Tools. - Keith Moffat; Mohini Bariya; Alexandra von Meier (IEEE Trans. Smart Grid, 2020)

The Multiple Model Adaptive Power System State Estimator. - Keith Moffat; Claire J. Tomlin (CDC, 2021)

Phasor Based Control with the Distributed, Extensible Grid Control Platform. - Keith Moffat; Jasper Pakshong; Leo Chu; Gabe Fierro; Jaimie Swartz; Maxime Baudette; Alexandra von Meier (ISGT, 2021)

Robust online joint state/input/parameter estimation of linear systems. - Jean-Sébastien Brouillon; Keith Moffat; Florian Dörfler; Giancarlo Ferrari-Trecate (CDC, 2022)

Using Voltage Phasor Control to Avoid Distribution Network Constraint Violations. - Keith Moffat; Alexandra von Meier (CoRR, 2022)

Bayesian Error-in-Variables Models for the Identification of Distribution Grids. - Jean-Sébastien Brouillon; Emanuele Fabbiani; Pulkit Nahata; Keith Moffat; Florian Dörfler; Giancarlo Ferrari-Trecate (IEEE Trans. Smart Grid, 2023)

The Transient Predictor. - Keith Moffat; Florian Dörfler; Alessandro Chiuso (CDC, 2024)

Power Grid Parameter Estimation Without Phase Measurements: Theory and Empirical Validation. - Jean-Sébastien Brouillon; Keith Moffat; Florian Dörfler; Giancarlo Ferrari-Trecate (CoRR, 2024)

Publisher Correction: Development and assessment of a machine learning tool for predicting emergency admission in Scotland. - James Liley; Gergo Bohner; Samuel R. Emerson; Bilal A. Mateen; Katie Borland; David Carr; Scott Heald; Samuel D. Oduro; Jill Ireland; Keith Moffat; Rachel Porteous; Stephen Riddell; et al. (npj Digit. Medicine, 2024)

Development and assessment of a machine learning tool for predicting emergency admission in Scotland. - James Liley; Gergo Bohner; Samuel R. Emerson; Bilal A. Mateen; Katie Borland; David Carr; Scott Heald; Samuel D. Oduro; Jill Ireland; Keith Moffat; Rachel Porteous; Stephen Riddell; et al. (npj Digit. Medicine, 2024)

DeePC-Hunt: Data-enabled Predictive Control Hyperparameter Tuning via Differentiable Optimization. - Michael Cummins; Alberto Padoan; Keith Moffat; Florian Dörfler; John Lygeros (L4DC, 2025)

Choose Wisely: Data-Enabled Predictive Control for Nonlinear Systems Using Online Data Selection. - Joshua Näf; Keith Moffat; Jaap Eising; Florian Dörfler (CoRR, 2025)

Robust Feedback Optimization with Model Uncertainty: A Regularization Approach. - Winnie Chan; Zhiyu He; Keith Moffat; Saverio Bolognani; Michael Muehlebach; Florian Dörfler (CoRR, 2025)

PRIME: Fast Primal-Dual Feedback Optimization for Markets with Application to Optimal Power Flow. - Nicholas Julian Behr; Mattia Bianchi; Keith Moffat; Saverio Bolognani; Florian Dörfler (CoRR, 2025)

A Data-driven Predictive Control Architecture for Train Thermal Energy Management. - Ahmed Aboudonia; Johannes Estermann; Keith Moffat; Manfred Morari; John Lygeros (CoRR, 2025)

Revisiting Power System Stabilizers with Increased Inverter-Based Generation: A Case Study. - Jovan Krajacic; Keith Moffat; Gustavo Valverde (CoRR, 2025)

Recursive-ARX for Grid-Edge Fault Detection. - Soufiane El Yaagoubi; Keith Moffat; Eduardo Prieto-Araujo; Florian Dörfler (CoRR, 2025)

Grid-Connected, Data-Driven Inverter Control, Theory to Hardware. - Sebastian Graf 005; Keith Moffat; Anurag Mohapatra; Alessandro Chiuso; Florian Dörfler (CoRR, 2025)

The Bias of Subspace-based Data-Driven Predictive Control. - Keith Moffat; Florian Dörfler; Alessandro Chiuso (CoRR, 2025)