PP: Shape and time distortion loss for training deep time series forecasting models

Problem: time series forecasting

Challenge: forecasting for non-stationary signals and multiple future steps prediction

?? how to deal with non-stationary datasets??

Introduction

one-step prediction problem VS multi-step prediction;

multi-step forecasting requires to accurately describe time series evolution. 

limitation of the euclidean loss(MSE): in non-stationary context; 

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转载自www.cnblogs.com/dulun/p/12292111.html
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