Alfred University Research and Archive (AURA)

Load Sampling for Enhancing the Robustness of SCUC Based on Principle Component Analysis and Kernel Density Estimation

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dc.contributor.author Lu, Dan
dc.date.accessioned 2019-04-01T19:52:22Z
dc.date.available 2019-04-01T19:52:22Z
dc.date.issued 2018-10-12
dc.identifier.uri http://hdl.handle.net/10829/23345
dc.language.iso en_US en_US
dc.publisher Alfred University en_US
dc.relation.ispartof Scholes Library en_US
dc.rights http://libguides.alfred.edu/AURA/termsofuse en_US
dc.subject Load sampling en_US
dc.subject Security constrained unit commitment en_US
dc.subject Monte Carlo simulation en_US
dc.subject Load curve en_US
dc.subject Optimization en_US
dc.subject Principle component analysis en_US
dc.subject Data compression en_US
dc.subject Kernel density estimation en_US
dc.subject Load profiles en_US
dc.subject AU Energy Symposium en_US
dc.title Load Sampling for Enhancing the Robustness of SCUC Based on Principle Component Analysis and Kernel Density Estimation en_US
dc.type Presentation or Speech en_US


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