Robust Preprocessing of Time Series Data
Perform automatic data cleaning of time series data
Detects unreliable outliers in univariate time series data based on mo...
Impute modelled missing time series data
Model missing time series data
Robust time series seasonal decomposition
Methods for handling the missing values outliers are introduced in this package. The recognized missing values and outliers are replaced using a model-based approach. The model may consist of both autoregressive components and external regressors. The methods work robust and efficient, and they are fully tunable. The primary motivation for writing the package was preprocessing of the energy systems data, e.g. power plant production time series, but the package could be used with any time series data. For details, see Narajewski et al. (2021) <doi:10.1016/j.softx.2021.100809>.