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math.OC2022
Unsupervised energy disaggregation via convolutional sparse coding
Christian Aarset, Andreas Habring, Martin Holler +1
In this work, a method for unsupervised energy disaggregation in private households equipped with smart meters is proposed. This method aims to classify power consumption as active…
math.OC2022★ 14 cited
Learning-informed parameter identification in nonlinear time-dependent PDEs
Christian Aarset, Martin Holler, Tram Thi Ngoc Nguyen
We introduce and analyze a method of learning-informed parameter identification for partial differential equations (PDEs) in an all-at-once framework. The underlying PDE model is f…