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Conference Papers Year : 2013

Short-Term Prediction for Nuclear Power Plant Failure Scenarios Using an Ensemble-based Approach

Abstract

An ensemble-based approach is proposed for the short-term prediction. The proposed approach includes the selection of the inputs using Fuzzy Similarity Analysis (FSA), Probabilistic Support Vector Re-gression (SVR) model as the single model of the ensemble, and the derivation of the Prediction intervals as-sociated with the predicted value. A case study is shown, regarding the prediction of a drifting process param-eter of a Nuclear Power Plant (NPP) component.
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Dates and versions

hal-00838785 , version 1 (26-06-2013)

Identifiers

  • HAL Id : hal-00838785 , version 1

Cite

Jie Liu, Valeria Vitelli, Redouane Seraoui, Francesco Di Maio, Enrico Zio. Short-Term Prediction for Nuclear Power Plant Failure Scenarios Using an Ensemble-based Approach. ESREL 2013, Sep 2013, Amsterdam, Netherlands. pp.1-5. ⟨hal-00838785⟩
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