World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
62
Citations
14999
World Ranking
1443
National Ranking
593

Research.com Recognitions

  • 2012 - IEEE Fellow For contributions to feedforward and feedback control systems
  • 2011 - Fellow of the International Federation of Automatic Control (IFAC)

Overview

Lucy Y. Pao is affiliated with the University of Colorado Boulder in the United States. The primary discipline of their research is engineering, with a significant focus on subfields such as aerospace engineering, electrical and electronic engineering, ocean engineering, computational mechanics, and control and systems engineering.

Their research activities concentrate on topics including wind energy research and development, wind turbine control systems, wave and wind energy systems, fluid dynamics and vibration analysis, wind and air flow studies, real-time simulation and control systems, and energy load and power forecasting.

Frequent coauthors collaborating with Lucy Y. Pao include Mandar Phadnis, Daniel Zalkind, Eric Loth, Kathryn Johnson, and Manuel Pusch.

Lucy Y. Pao has published primarily in these venues:

  • Journal of Physics Conference Series
  • Wind Energy
  • IEEE Control Systems
  • Wind energy science
  • Renewable Energy

Some of their recent papers are:

  • "A reference open-source controller for fixed and floating offshore wind turbines," 2022, Wind energy science
  • "Grand challenges in the design, manufacture, and operation of future wind turbine systems," 2023, Wind energy science
  • "Control co-design of 13 MW downwind two-bladed rotors to achieve 25% reduction in levelized cost of wind energy," 2021, Annual Reviews in Control
  • "An Update to the National Renewable Energy Laboratory Baseline Wind Turbine Controller," 2020, Journal of Physics Conference Series
  • "Model Predictive Active Power Control for Optimal Structural Load Equalization in Waked Wind Farms," 2021, IEEE Transactions on Control Systems Technology

Lucy Y. Pao has been recognized as an IEEE Fellow for contributions to feedforward and feedback control systems in 2012. The researcher was also named a Fellow of the International Federation of Automatic Control (IFAC) in 2011.

Best Publications

  • Grand challenges in the science of wind energy

    Paul Veers;Katherine Dykes;Eric Lantz;Stephan Barth

  • Control of variable-speed wind turbines: standard and adaptive techniques for maximizing energy capture

    K.E. Johnson;L.Y. Pao;M.J. Balas;L.J. Fingersh

  • Wind plant power optimization through yaw control using a parametric model for wake effects—a CFD simulation study

    P. M. O. Gebraad;F. W. Teeuwisse;J. W. van Wingerden;Paul A. Fleming

  • A tutorial on the dynamics and control of wind turbines and wind farms

    Lucy Y. Pao;Kathryn E. Johnson

  • Control of Wind Turbines

    L Y Pao;K E Johnson

  • A Model-Free Approach to Wind Farm Control Using Game Theoretic Methods

    J. R. Marden;S. D. Ruben;L. Y. Pao

  • A tutorial of wind turbine control for supporting grid frequency through active power control

    Jacob Aho;Andrew Buckspan;Jason Laks;Paul Fleming

  • Control of wind turbines: Past, present, and future

    Jason H. Laks;Lucy Y. Pao;Alan D. Wright

  • A Tutorial on the Mechanisms, Dynamics, and Control of Atomic Force Microscopes

    D.Y. Abramovitch;S.B. Andersson;L.Y. Pao;G. Schitter

  • Methods for Increasing Region 2 Power Capture on a Variable-Speed Wind Turbine

    Kathryn E. Johnson;Lee J. Fingersh;Mark J. Balas;Lucy Y. Pao

  • Proximate Time-Optimal Digital Control for Synchronous Buck DC–DC Converters

    V. Yousefzadeh;A. Babazadeh;B. Ramachandran;E. Alarcon

  • Analysis and comparison of three discrete-time feedforward model-inverse control techniques for nonminimum-phase systems☆

    J.A. Butterworth;L.Y. Pao;D.Y. Abramovitch

  • Rate-hardness: a new performance metric for haptic interfaces

    D.A. Lawrence;L.Y. Pao;A.M. Dougherty;M.A. Salada

  • Active Power Controls from Wind Power: Bridging the Gaps

    E. Ela;V. Gevorgian;P. Fleming;Y. C. Zhang

  • Achieving Pareto Optimality Through Distributed Learning

    Jason R. Marden;H. Peyton Young;Lucy Y. Pao

  • Nonminimum Phase Dynamic Inversion for Settle Time Applications

    B.P. Rigney;L.Y. Pao;D.A. Lawrence

  • Gearbox and Drivetrain Models to Study Dynamic Effects of Modern Wind Turbines

    Irving P. Girsang;Jaspreet S. Dhupia;Eduard Muljadi;Mohit Singh

  • A data-driven model for wind plant power optimization by yaw control

    P. M. O. Gebraad;F. W. Teeuwisse;J. W. van Wingerden;P. A. Fleming

  • Characterization of wind velocities in the upstream induction zone of a wind turbine using scanning continuous-wave lidars

    Eric Simley;Nikolas Angelou;Torben Krogh Mikkelsen;Mikael Sjöholm

  • Minimum-time control characteristics of flexible structures

    Lucy Y. Pao

  • A Reference Open-Source Controller for Fixed and Floating Offshore Wind Turbines

    Nikhar Abbas;Nikhar Abbas;Daniel Zalkind;Lucy Pao;Alan Wright

  • Optimal Control of Wind Energy Systems: Towards a Global Approach (Munteanu, I. et al.; 2008) [Bookshelf]

    Jason H. Laks;Lucy Y. Pao

  • STANDARD AND ADAPTIVE TECHNIQUES FOR MAXIMIZING ENERGY CAPTURE

    Kathryn E. Johnson;Lucy Y. Pao;Mark J. Balas;Lee J. Fingersh

Frequent Co-Authors

William Singhose
William Singhose Georgia Institute of Technology
Mark J. Balas
Mark J. Balas Texas A&M University
Michael G. Safonov
Michael G. Safonov University of Southern California
Eduard Muljadi
Eduard Muljadi Auburn University
Dragan Maksimovic
Dragan Maksimovic University of Colorado Boulder
Eduard Alarcon
Eduard Alarcon Universitat Politècnica de Catalunya
Yaakov Bar-Shalom
Yaakov Bar-Shalom University of Connecticut
Peter F. Green
Peter F. Green University of Michigan–Ann Arbor

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