03983nam a22006135i 4500 978-3-031-69358-8 DE-He213 20251030113314.0 cr nn 008mamaa 241116s2024 sz | s |||| 0|eng d 9783031693588 978-3-031-69358-8 10.1007/978-3-031-69358-8 doi TK1001-1841 THR bicssc TEC031020 bisacsh THR thema Artificial Intelligence in the Operation and Control of Digitalized Power Systems [electronic resource] / edited by Sasan Azad, Morteza Nazari-Heris. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. VI, 400 p. 143 illus., 112 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Power Systems, 1860-4676 Constant and Product-Cubic Systems -- Self-linear and Product-cubic systems -- Crossing-linear and Product-cubic systems. This book covers the practical application of AI-based methods in modern power systems. The complexity of current power system operations has dramatically increased due to the higher penetration of renewable energy sources and power electronic components. Therefore, providing efficient techniques is essential for secure and clean power system operation. This book focuses on the data-driven operation of the digitalized power system using machine language (ML). First, the basics of power system operation and control are presented, covering various areas of system control and operation. Next, significant advances in modern power systems and their corresponding challenges are discussed, and artificial intelligence (AI)-powered techniques, specifically machine learning, are introduced to address these issues. The book also explores AI-powered applications in the operation of power systems. These applications include various aspects of the data-driven process in both situational awareness and control areas. They are presented as practical examples indicating the implementation of an ML-based method to solve operational problems. Artificial Intelligence in the Operation and Control of Digitalized Power Systems is a valuable guide for students, researchers, and practicing engineers to AI-based techniques and real-world applications in power systems. Covers the practical application of artificial intelligence in modern power systems; Presents the basics of power system operation and control; Includes case studies. . Electric power production. 65675 Electric power distribution. 66068 Renewable energy sources. 58133 Cooperating objects (Computer systems). 64303 Energy policy. 61992 Energy and state. 66460 Electrical Power Engineering. 65867 Energy Grids and Networks. 66069 Renewable Energy. 64206 Cyber-Physical Systems. 65638 Energy Policy, Economics and Management. 66461 Azad, Sasan. editor. edt http://id.loc.gov/vocabulary/relators/edt 87573 Nazari-Heris, Morteza. editor. edt http://id.loc.gov/vocabulary/relators/edt 57133 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031693571 Printed edition: 9783031693595 Printed edition: 9783031693601 Power Systems, 1860-4676 13832 https://doi.org/10.1007/978-3-031-69358-8 ZDB-2-ENE ZDB-2-SXEN 64984 64984