Electrical load forecasting in disaggregated levels is a difficult task due to time series randomness, which leads to noise and consequently affects the quality of predictions. To mitigate this problem, noise removal using ...

Singular Spectrum Analysis (SSA) is a non-parametric technique that allows the decomposition of a time series into signal and noise. Thus, it is a useful technique to trend extraction, smooth and filter a time series. The ...

© 2017, Springer International Publishing. Let G be a Carnot group of homogeneous dimension M and Δ its horizontal sublaplacian. For α∈ (0 , M) we show that operators of the form Hα: = (- Δ) α+ V have no singular spectrum, ...

This article presents a novel approach for damage detection applied to structural health monitoring systems exploring the residues obtained from singular spectrum analysis. In this technique, a lead zirconate titanate patch ...