Data quality monitoring: Independent component analysis for time series

In the information era, databases in companies and research centres are getting larger, which makes the quality of data a key issue. In this paper, independent component analysis is used for data quality monitoring of electric load time series. The independent component analysis was applied in the preprocessing phase, which increased the data quality system performance. The extraction of signal sources revealed relevant information, and narrowed the corridor width used for data validation.