**Preface to "Advanced Signal Processing Techniques Applied to Power Systems Control and Analysis"**

This monograph showcases the results of the latest research aimed at facilitating the development of modern electric power systems, grids and devices, smart grids, and protection devices, as well as for developing tools for more accurate and efficient power system analysis. Conventional signal processing is not more effective for extracting all of the relevant information from distorted signals through filtering, estimation, and detection in order to facilitate decision-making and to control actions. Machine learning algorithms, optimization techniques, and efficient numerical algorithms, distributed signal processing, and statistical signal detection and estimation may help in solving contemporary challenges in modern power systems. The increased use of digital information and control technology can improve the grid's reliability, security, and efficiency; dynamic optimization of grid operations; demand response; incorporation of demand-side resources and integration of energy-efficient resources; distribution automation; and integration of smart appliances and consumer devices. Signal processing offers the tools needed to convert measurement data to information and to transform information into actionable intelligence.

**Zbigniew Leonowicz, Sanjeevikumar Padmanaban, Antonio Bracale, Alessandro Burgio, Tomasz Sikorski, Przemyslaw Janik**

*Special Issue Editors*

*Article*
