On the public citation graph

Observability of the ambient conditions in model‐based estimation for wind farm control: A focus on static models

0 signed · 43 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/acs.2319openalex-snapshot
A globally convergent wind speed estimator for wind turbine systems
inferredcites →https://doi.org/10.1002/we.1822openalex-snapshot
Wind plant power optimization through yaw control using a parametric model for wake effects-a CFD simulation study
inferredcites →https://doi.org/10.1016/0167-6105(95)00033-xopenalex-snapshot
Turbulence characteristics in wind-turbine wakes
inferredcites →https://doi.org/10.1017/jfm.2016.595openalex-snapshot
Experimental and theoretical study of wind turbine wakes in yawed conditions
inferredcites →https://doi.org/10.1088/1742-6596/753/3/032006openalex-snapshot
Wind tunnel testing of a closed-loop wake deflection controller for wind farm power maximization
inferredcites →https://doi.org/10.1088/1742-6596/854/1/012041openalex-snapshot
Verification and Calibration of a Reduced Order Wind Farm Model by Wind Tunnel Experiments
inferredcites →https://doi.org/10.1109/acc.2015.7170978openalex-snapshot
Wind turbine wake estimation and control using FLORIDyn, a control-oriented dynamic wind plant model
inferredcites →https://doi.org/10.1109/acc.2016.7524965openalex-snapshot
Wind tunnel testing of wake control strategies
inferredcites →https://doi.org/10.1109/tcst.2013.2260751openalex-snapshot
Estimation of Rotor Effective Wind Speed: A Comparison
inferredcites →https://doi.org/10.1175/2010jtecha1398.1openalex-snapshot
Quantifying the Impact of Wind Turbine Wakes on Power Output at Offshore Wind Farms
inferredcites →https://doi.org/10.23919/acc.2017.7962923openalex-snapshot
A tutorial on control-oriented modeling and control of wind farms
inferredcites →https://doi.org/10.23919/acc.2017.7963036openalex-snapshot
Dynamic wake modeling and state estimation for improved model-based receding horizon control of wind farms
inferredcites →https://doi.org/10.23919/acc.2018.8431626openalex-snapshot
Online model updating by a wake detector for wind farm control
inferredcites →https://doi.org/10.23919/acc.2019.8815126openalex-snapshot
A tutorial on the synthesis and validation of a closed-loop wind farm controller using a steady-state surrogate model
inferredcites →https://doi.org/10.2514/6.2012-1018openalex-snapshot
Rotor Speed Dependent Yaw Control of Wind Turbines Based on Empirical Data
inferredcites →https://doi.org/10.5194/wes-2-229-2017openalex-snapshot
Field test of wake steering at an offshore wind farm
inferredcites →https://doi.org/10.5194/wes-3-749-2018openalex-snapshot
Online model calibration for a simplified LES model in pursuit of real-time closed-loop wind farm control
inferredcites →https://doi.org/10.5194/wes-3-819-2018openalex-snapshot
Analysis of control-oriented wake modeling tools using lidar field results
inferredcites →https://doi.org/10.5194/wes-4-273-2019openalex-snapshot
Initial results from a field campaign of wake steering applied at a commercial wind farm – Part 1
inferredcites →https://doi.org/10.5194/wes-4-355-2019openalex-snapshot
Wind direction estimation using SCADA data with consensus-based optimization
inferredcites →https://doi.org/10.5194/wes-5-451-2020openalex-snapshot
Design and analysis of a wake steering controller with wind direction variability

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4766751openalex-extracted
Teaching Learning-Based Optimization for Maximizing Wind Farm Power Generation
inferred← citeshttps://doi.org/10.1002/adc2.80openalex-snapshot
Wind farm flow control oriented to electricity markets and grid integration: Initial perspective analysis
inferred← citeshttps://doi.org/10.1002/we.2972openalex-snapshot
Quasi‐Static Closed‐Loop Wind‐Farm Control for Combined Power and Fatigue Optimization
inferred← citeshttps://doi.org/10.1016/j.jweia.2024.105777openalex-snapshot
On the cybersecurity of smart structures under wind
inferred← citeshttps://doi.org/10.1016/j.renene.2020.04.007openalex-snapshot
Closed-loop model-based wind farm control using FLORIS under time-varying inflow conditions
inferred← citeshttps://doi.org/10.1016/j.renene.2024.121357openalex-snapshot
Optimization of wind farm power output using wake redirection control
inferred← citeshttps://doi.org/10.1016/j.rser.2025.115605openalex-snapshot
Data-driven wind farm flow control and challenges towards field implementation: A review
inferred← citeshttps://doi.org/10.1049/rpg2.12160openalex-snapshot
Wind farm control ‐ Part I: A review on control system concepts and structures
inferred← citeshttps://doi.org/10.1063/5.0032917openalex-snapshot
Wake position tracking using dynamic wake meandering model and rotor loads
inferred← citeshttps://doi.org/10.1063/5.0311885openalex-snapshot
Quantifying the uncertain impact of wind turbine yaw misalignment on power production in a field experiment
inferred← citeshttps://doi.org/10.1088/1742-6596/3224/3/032081openalex-snapshot
Closed-loop Wind farm control for floating turbines via online yaw and induction setpoint optimization
inferred← citeshttps://doi.org/10.1109/tste.2024.3502518openalex-snapshot
Dual-Stage MPC-Based AGC for Wind Farm Considering Aerodynamic Interactions
inferred← citeshttps://doi.org/10.1146/annurev-control-070221-114032openalex-snapshot
Turbulence and Control of Wind Farms
inferred← citeshttps://doi.org/10.23919/acc50511.2021.9483088openalex-snapshot
Estimation of the Ambient Wind Field From Wind Turbine Measurements Using Gaussian Process Regression
inferred← citeshttps://doi.org/10.23919/acc63710.2025.11108096openalex-snapshot
Design and evaluation of EnKF-based estimators for steady-state-model-based wind farm control
inferred← citeshttps://doi.org/10.31274/td-20240329-876openalex-snapshot
Wind energy resource assessment and micro-siting and control optimization
inferred← citeshttps://doi.org/10.3390/en16207131openalex-snapshot
Non-Centralised Balance Dispatch Strategy in Waked Wind Farms through a Graph Sparsification Partitioning Approach
inferred← citeshttps://doi.org/10.5194/wes-11-175-2026openalex-snapshot
Field comparison of load-based wind turbine wake tracking with a scanning lidar reference
inferred← citeshttps://doi.org/10.5194/wes-2022-24-rc1openalex-snapshot
Comment on wes-2022-24
inferred← citeshttps://doi.org/10.5194/wes-2022-24-rc2openalex-snapshot
Comment on wes-2022-24
inferred← citeshttps://doi.org/10.5194/wes-7-2271-2022openalex-snapshot
Wind farm flow control: prospects and challenges
inferred← citeshttps://doi.org/10.70675/d2cda719zf354z4df4z9ccdz6fffdcf8a559openalex-snapshot
Wind Velocity Estimation for Wind Farms
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.