Temporal Disaggregation of Time Series

Temporal disaggregation of time series based on accumulated and inverse accumulated generating operations and interpolation method

Purpose – The purpose of this paper is to propose a new temporal disaggregation method for time series based on the accumulated and inverse accumulated generating operations in grey modeling and the interpolation method. Design/methodology/approach – This disaggregation method includes three main steps, including accumulation, interpolation, and differentiation (AID). First, a low frequency flo...

Temporal disaggregation of economic time series: towards a dynamic extension

A Polynomial Method for Temporal Disaggregation of Multivariate Time Series

Temporal disaggregation of satellite-derived monthly precipitation estimates and the resulting propagation of error in partitioning of water at the land surface

Global estimates of precipitation can now be made using data from a combination of geosynchronous and low earth-orbit satellites. However, revisit patterns of polar-orbiting satellites and the need to sample mixed-clouds scenes from geosynchronous satellites leads to the coarsening of the temporal resolution to the monthly scale. There are prohibitive limitations to the applicability of monthly...

Energy Disaggregation via Learning Powerlets and Sparse Coding

In this paper, we consider the problem of energy disaggregation, i.e., decomposing a whole home electricity signal into its component appliances. We propose a new supervised algorithm, which in the learning stage, automatically extracts signature consumption patterns of each device by modeling the device as a mixture of dynamical systems. In order to extract signature consumption patterns of a ...