On the public citation graph

Calibration of Wake Models for the Block Island Offshore Wind Farm Using Scada Measurements

https://doi.org/10.2139/ssrn.5342675
0 signed · 49 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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/qre.3428openalex-snapshot
A modular Bayesian approach to model calibration of low‐fidelity simulation models
inferredcites →https://doi.org/10.1002/we.1863openalex-snapshot
On the application of the Jensen wake model using a turbulence‐dependent wake decay coefficient: the Sexbierum case
inferredcites →https://doi.org/10.1002/we.1891openalex-snapshot
Analysis of axial‐induction‐based wind plant control using an engineering and a high‐order wind plant model
inferredcites →https://doi.org/10.1002/we.2123openalex-snapshot
Quantification of power losses due to wind turbine wake interactions through SCADA, meteorological and wind LiDAR data
inferredcites →https://doi.org/10.1002/we.2448openalex-snapshot
Aeroelastic validation and Bayesian updating of a downwind wind turbine
inferredcites →https://doi.org/10.1002/we.408openalex-snapshot
Evaluation of wind farm efficiency and wind turbine wakes at the Nysted offshore wind farm
inferredcites →https://doi.org/10.1002/we.433openalex-snapshot
Numerical simulations of wake interaction between two wind turbines at various inflow conditions
inferredcites →https://doi.org/10.1007/978-1-84996-323-7openalex-snapshot
Finite-element-model Updating Using Computional Intelligence Techniques
inferredcites →https://doi.org/10.1016/0167-6105(95)00033-xopenalex-snapshot
Turbulence characteristics in wind-turbine wakes
inferredcites →https://doi.org/10.1016/0169-7439(89)80095-4openalex-snapshot
Analysis of variance (ANOVA)
inferredcites →https://doi.org/10.1016/j.energy.2020.117065openalex-snapshot
Quantification of parameter uncertainty in wind farm wake modeling
inferredcites →https://doi.org/10.1016/j.oceaneng.2024.118508openalex-snapshot
Wind turbine wakes modeling and applications: Past, present, and future
inferredcites →https://doi.org/10.1016/j.reffit.2017.07.001openalex-snapshot
Wind characteristics observation using Doppler-SODAR for wind energy applications
inferredcites →https://doi.org/10.1016/j.renene.2014.01.002openalex-snapshot
A new analytical model for wind-turbine wakes
inferredcites →https://doi.org/10.1016/j.renene.2014.01.017openalex-snapshot
Levelised cost of energy for offshore floating wind turbines in a life cycle perspective
inferredcites →https://doi.org/10.1016/j.renene.2024.122126openalex-snapshot
Modeling and experimentally-driven sensitivity analysis of wake-induced power loss in offshore wind farms: Insights from Block Island Wind Farm
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/10.1017/jfm.2023.302openalex-snapshot
The influence of free stream turbulence on the development of a wind turbine wake
inferredcites →https://doi.org/10.1049/iet-rpg.2020.0113openalex-snapshot
Evaluation of wind turbine power outputs with and without uncertainties in input wind speed and wind direction data
inferredcites →https://doi.org/10.1063/5.0018695openalex-snapshot
Comparison of modular analytical wake models to the Lillgrund wind plant
inferredcites →https://doi.org/10.1063/5.0023746openalex-snapshot
Influence of atmospheric conditions on the power production of utility-scale wind turbines in yaw misalignment
inferredcites →https://doi.org/10.1063/5.0163896openalex-snapshot
Data-driven wake model parameter estimation to analyze effects of wake superposition
inferredcites →https://doi.org/10.1073/pnas.1903680116openalex-snapshot
Wind farm power optimization through wake steering
inferredcites →https://doi.org/10.1080/14685248.2012.668191openalex-snapshot
A numerical study of the effects of atmospheric and wake turbulence on wind turbine dynamics
inferredcites →https://doi.org/10.1088/1742-6596/2767/3/032034openalex-snapshot
Closed-loop coupling of a dynamic wake model with a wind inflow estimator
inferredcites →https://doi.org/10.1088/1742-6596/2767/4/042029openalex-snapshot
Error analysis of low-fidelity models for wake steering based on field measurements
inferredcites →https://doi.org/10.1088/1742-6596/2767/9/092051openalex-snapshot
Meteorological measurements affected by wind farm cluster wakes: How to deal with waked wind in AEP assessments?
inferredcites →https://doi.org/10.1088/1742-6596/625/1/012009openalex-snapshot
Data-driven Reduced Order Model for prediction of wind turbine wakes
inferredcites →https://doi.org/10.1088/1742-6596/753/3/032052openalex-snapshot
An analysis of offshore wind farm SCADA measurements to identify key parameters influencing the magnitude of wake effects
inferredcites →https://doi.org/10.1088/1742-6596/753/5/052004openalex-snapshot
Incorporating Atmospheric Stability Effects into the FLORIS Engineering Model of Wakes in Wind Farms
inferredcites →https://doi.org/10.1088/1742-6596/854/1/012036openalex-snapshot
Optimization Under Uncertainty for Wake Steering Strategies
inferredcites →https://doi.org/10.1088/1748-9326/7/1/014005openalex-snapshot
Atmospheric stability affects wind turbine power collection
inferredcites →https://doi.org/10.1088/1755-1315/1073/1/012004openalex-snapshot
Study of blockage and wakes for an on-shore Wind Farm using SCADA data and CFD simulations
inferredcites →https://doi.org/10.1093/comjnl/7.4.308openalex-snapshot
A Simplex Method for Function Minimization
inferredcites →https://doi.org/10.1146/annurev-fluid-010816-060206openalex-snapshot
Flow Structure and Turbulence in 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/10.3390/en14051293openalex-snapshot
Sensitivity and Uncertainty of the FLORIS Model Applied on the Lillgrund Wind Farm
inferredcites →https://doi.org/10.3390/en5125340openalex-snapshot
Atmospheric Turbulence Effects on Wind-Turbine Wakes: An LES Study
inferredcites →https://doi.org/10.3390/en9090741openalex-snapshot
Analytical Modeling of Wind Farms: A New Approach for Power Prediction
inferredcites →https://doi.org/10.5194/wes-2-477-2017openalex-snapshot
An analysis of offshore wind farm SCADA measurements to identify key parameters influencing the magnitude of wake effects
inferredcites →https://doi.org/10.5194/wes-3-869-2018openalex-snapshot
Robust active wake control in consideration of wind direction variability and uncertainty
inferredcites →https://doi.org/10.5194/wes-4-127-2019openalex-snapshot
The aerodynamics of the curled wake: a simplified model in view of flow control
inferredcites →https://doi.org/10.5194/wes-4-287-2019openalex-snapshot
Local turbulence parameterization improves the Jensen wake model and its implementation for power optimization of an operating wind farm
inferredcites →https://doi.org/10.5194/wes-5-1225-2020openalex-snapshot
An alternative form of the super-Gaussian wind turbine wake model
inferredcites →https://doi.org/10.5194/wes-5-237-2020openalex-snapshot
Brief communication: A double-Gaussian wake model
inferredcites →https://doi.org/10.5194/wes-8-1071-2023openalex-snapshot
Grand challenges in the design, manufacture, and operation of future wind turbine systems
inferredcites →https://doi.org/10.5194/wes-9-119-2024openalex-snapshot
Breakdown of the velocity and turbulence in the wake of a wind turbine – Part 2: Analytical modelling
inferredcites →https://doi.org/10.5194/wes-9-1507-2024openalex-snapshot
Hyperparameter tuning framework for calibrating analytical wake models using SCADA data of an offshore wind farm
inferredcites →https://doi.org/10.5194/wes-9-1547-2024openalex-snapshot
On the power and control of a misaligned rotor – beyond the cosine law
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.