Accurate Short-Term Power Forecasting of Wind Turbines: The Case of JejuIsland's Wind Farm

Article English OPEN
BeomJun Park; Jin Hur;
(2017)
  • Publisher: MDPI AG
  • Journal: issn: 1996-1073
  • Publisher copyright policies & self-archiving
  • Related identifiers: doi: 10.3390/en10060812
  • Subject: support vector regression (SVR) | Technology | power curve | wind power forecasting | support vector machine (SVM) | T | wind power forecasting; enhancing reliability; power curve; supportvector machine (SVM); support vector regression (SVR) | enhancing reliability
    arxiv: Astrophysics::High Energy Astrophysical Phenomena | Physics::Space Physics | Physics::Atmospheric and Oceanic Physics | Astrophysics::Solar and Stellar Astrophysics
    acm: ComputerApplications_MISCELLANEOUS

Short-term wind power forecasting is a technique which tells system operators how much wind power can be expected at a specific time. Due to the increasing penetration of wind generating resources into the power grids, short-term wind power forecasting is becoming an im... View more
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