03608nam a22005295i 4500001001800000003000900018005001700027007001500044008004100059020001800100024003500118050001600153072001600169072002300185072001500208245015600223250001800379264006900397300006600466336002600532337002600558338003600584347002400620490003000644505012600674520153700800650003102337650003302368650003002401650004402431650001902475650002202494650003402516650003102550650002202581650002802603650004502631700007402676700008402750710003402834773002602868776003602894776003602930776003602966830003003002856004603032978-3-031-69358-8DE-He21320251030113314.0cr nn 008mamaa241116s2024    sz |    s    |||| 0|eng d  a97830316935887 a10.1007/978-3-031-69358-82doi 4aTK1001-1841 7aTHR2bicssc 7aTEC0310202bisacsh 7aTHR2thema10aArtificial Intelligence in the Operation and Control of Digitalized Power Systemsh[electronic resource] /cedited by Sasan Azad, Morteza Nazari-Heris.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.  aVI, 400 p. 143 illus., 112 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aPower Systems,x1860-46760 aConstant and Product-Cubic Systems -- Self-linear and Product-cubic systems -- Crossing-linear and Product-cubic systems.  aThis 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. . 0aElectric power production. 0aElectric power distribution. 0aRenewable energy sources. 0aCooperating objects (Computer systems). 0aEnergy policy. 0aEnergy and state.14aElectrical Power Engineering.24aEnergy Grids and Networks.24aRenewable Energy.24aCyber-Physical Systems.24aEnergy Policy, Economics and Management.1 aAzad, Sasan.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt1 aNazari-Heris, Morteza.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303169357108iPrinted edition:z978303169359508iPrinted edition:z9783031693601 0aPower Systems,x1860-467640uhttps://doi.org/10.1007/978-3-031-69358-8