Using data mining to enable integration of wind resources on the power grid

DOI10.1002/sam.11164OpenAlexW2082192907MaRDI QIDQ4969854

Ya-Ju Fan, Chandrika Kamath

Publication date: 14 October 2020

Published in: Statistical Analysis and Data Mining: The ASA Data Science Journal (Search for Journal in Brave)

Full work available at URL: https://digital.library.unt.edu/ark:/67531/metadc828506/

zbMATH Keywords

classificationdimension reductionwind energyenergy forecastsramp events

Mathematics Subject Classification ID

Statistics (62-XX) Computer science (68-XX)

Related Items (1)

Detecting ramp events in wind energy generation using affinity evaluation on weather data

Uses Software

• ReliefF

Cites Work

• Unnamed Item
• Bagging predictors
• Theoretical and empirical analysis of ReliefF and RReliefF
• 10.1162/153244304322972667
• Scientific Data Mining
• Laplacian Eigenmaps for Dimensionality Reduction and Data Representation

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