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Considering Uncertainties of Key Performance Indicators in Wind Turbine Operation

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What this work says

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

inferredcites →https://doi.org/10.1002/9781118650158openalex-snapshot
Understanding Uncertainty
inferredcites →https://doi.org/10.1007/978-3-662-48986-4_301030openalex-snapshot
Leitfaden zur Angabe der Unsicherheit beim Messen
inferredcites →https://doi.org/10.1007/978-94-007-2351-1openalex-snapshot
Eddy covariance : a practical guide to measurement and data analysis
inferredcites →https://doi.org/10.1016/0029-5493(89)90268-9openalex-snapshot
Uncertainty in probabilistic safety assessment
inferredcites →https://doi.org/10.1016/j.egypro.2017.10.360openalex-snapshot
Recommended practices for wind farm data collection and reliability assessment for O&M optimization
inferredcites →https://doi.org/10.1016/j.egypro.2017.10.385openalex-snapshot
Key Performance Indicators for Wind Farm Operation and Maintenance
inferredcites →https://doi.org/10.1016/j.envres.2016.04.010openalex-snapshot
Energy saving in WWTP: Daily benchmarking under uncertainty and data availability limitations
inferredcites →https://doi.org/10.1016/j.jclepro.2007.01.004openalex-snapshot
Environmental performance, indicators and measurement uncertainty in EMS context: a case study
inferredcites →https://doi.org/10.1016/j.jclepro.2014.01.083openalex-snapshot
Improving the CO2 performance of cement, part I: utilizing life-cycle assessment and key performance indicators to assess development within the cement industry
inferredcites →https://doi.org/10.1016/j.jmsy.2018.07.010openalex-snapshot
A statistical system management method to tackle data uncertainty when using key performance indicators of the balanced scorecard
inferredcites →https://doi.org/10.1016/j.ref.2019.05.003openalex-snapshot
Assessing wind power operating costs in the United States: Results from a survey of wind industry experts
inferredcites →https://doi.org/10.1016/j.renene.2015.07.078openalex-snapshot
Sensitivity analysis of offshore wind farm operation and maintenance cost and availability
inferredcites →https://doi.org/10.1016/j.renene.2018.10.047openalex-snapshot
Machine learning methods for wind turbine condition monitoring: A review
inferredcites →https://doi.org/10.1088/1742-6596/1037/5/052021openalex-snapshot
Uncertainty quantification in the analyses of operational wind power plant performance
inferredcites →https://doi.org/10.1088/1742-6596/1356/1/012040openalex-snapshot
Recommended key performance indicators for operational management of wind turbines
inferredcites →https://doi.org/10.1108/17410400710731437openalex-snapshot
Prioritization of key performance indicators
inferredcites →https://doi.org/10.1111/j.1751-5823.2006.tb00166.xopenalex-snapshot
A Measure of Representativeness of a Sample for Inferential Purposes
inferredcites →https://doi.org/10.1127/metz/2015/0637openalex-snapshot
LiDAR-mast deviations in complex terrain and their simulation using CFD
inferredcites →https://doi.org/10.1260/030952406777641441openalex-snapshot
Influence of Wind Speed on Wind Turbine Reliability
inferredcites →https://doi.org/10.2172/1475534openalex-snapshot
2017 Cost of Wind Energy Review
inferredcites →https://doi.org/10.2314/gbv:87150166xopenalex-snapshot
HERA-VPP - High efficiency, reliability, availability of Virtual Power Plants : Abschlussbericht : Laufzeit des Vorhabens: 01.08.2014-31.01.2016
inferredcites →https://doi.org/10.2514/6.2014-1087openalex-snapshot
Sensitivity Analysis of Wind Plant Performance to Key Turbine Design Parameters: A Systems Engineering Approach
inferredcites →https://doi.org/10.2514/6.2019-0541openalex-snapshot
Uncertainty Quantification in Wind Plant Energy Estimation
inferredcites →https://doi.org/10.5194/wes-2019-12openalex-snapshot
OpenOA: An Open-Source Code Base for Operational Analysis of Wind Power Plants

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.4505409openalex-extracted
Critical Success Factors and Key Performance Indicators for Real Estate Service Business in Nigeria
inferred← citeshttps://doi.org/10.1007/978-3-031-14844-6_55openalex-snapshot
Roadmapping Towards Mature Collaborative Reconfigurable Manufacturing System
inferred← citeshttps://doi.org/10.1007/s11356-022-19902-8openalex-snapshot
A review on proliferation of artificial intelligence in wind energy forecasting and instrumentation management
inferred← citeshttps://doi.org/10.1063/5.0311283openalex-snapshot
Optimal coupling of battery and green hydrogen storage for variable wind power: A real-world case study
inferred← citeshttps://doi.org/10.1080/15435075.2023.2253896openalex-snapshot
A review of fault diagnosis and prediction methods for wind turbine pitch systems
inferred← citeshttps://doi.org/10.1088/2631-8695/adaca8openalex-snapshot
Deep mining of megawatt large wind turbine actual operating data: exploration of Bayesian parameter fusion modeling
inferred← citeshttps://doi.org/10.5194/wes-2024-163openalex-snapshot
Deep mining of megawatt large wind turbine actual operating data: exploration of accurate modeling & performance optimization
inferred← citeshttps://doi.org/10.5194/wes-2024-163-rc4openalex-snapshot
Comment on wes-2024-163
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.