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This paper proposes a hybrid method for probabilistic wind power forecasting. The proposed approach consists of data classification, deterministic forecasting and probabilistic forecasting stages. In the data classification stage, a fuzzy k-means clustering algorithm is used to classify the historical time series of wind power into various wind classes. Several support vector regression (SVR) models...
Innovative numerical-substructure-based (NB) approach for the control and performance testing of a nonlinear base-isolated structure dynamically substructured system is presented. Dynamic substructuring enables a full-size, critical component of an entire system to be physically tested, whilst the remaining parts are simulated numerically. Successful tests require a high-quality controller to compensate...
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