Short-term prediction for Nuclear Power Plant failure scenarios using an ensemble-based approach

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 Regression (SVR) model as the single model of the ensemble, and the derivation of the Prediction intervals associated with the predicted value. A case study is shown, regarding the prediction of a drifting process parameter of a Nuclear Power Plant (NPP) component.