<?xml version="1.0" encoding="UTF-8"?>
<mods xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.loc.gov/mods/v3" version="3.1" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
  <titleInfo>
    <title>Power System State Estimation and Forecasting</title>
    <subTitle>Fundamentals and Advanced Topics</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Brown Do Coutto Filho, Milton.</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
    <role>
      <roleTerm type="text">author.</roleTerm>
    </role>
    <role>
      <roleTerm authority="marcrelator" type="code">aut</roleTerm>
    </role>
    <role>
      <roleTerm authority="marcrelator" type="code">http://id.loc.gov/vocabulary/relators/aut</roleTerm>
    </role>
  </name>
  <name type="corporate">
    <namePart>SpringerLink (Online service)</namePart>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">sz</placeTerm>
    </place>
    <dateIssued encoding="marc">2024</dateIssued>
    <edition>1st ed. 2024.</edition>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">electronic</form>
    <form authority="gmd">electronic resource</form>
    <reformattingQuality>access</reformattingQuality>
    <extent>XXV, 262 p. 102 illus., 78 illus. in color. online resource.</extent>
  </physicalDescription>
  <abstract>This classroom-tested text offers students an overview of classical and recent state estimation techniques in power systems. It includes well-established, widely accepted information presented in a didactic way and new insights and perspectives on state estimation developed by the author while conducting some of the most cutting-edge research in the field. This well-balanced mix of theory and practice will enable readers to understand state estimation techniques quickly. The book includes a user-friendly open-software tool integrating computer-based examples throughout the text. Case studies based on practical applications provide readers with a solid understanding of state estimation in real-world power systems. Power System State Estimation and Forecasting: Fundamentals and Advanced Topics is designed for upper-level undergraduate and graduate-level courses in electric power systems. It is also an essential professional reference on electric power systems for practicing engineers and researchers. All state estimation steps are addressed; Includes case studies and open-software tools and examples; Provides coverage on state-of-the-art power system state estimation.</abstract>
  <tableOfContents>Introduction -- StaticStateEstimation -- NetworkConfiguration -- ObservationCapabilityofMeasuringSystems -- CriticalityAnalysis -- HandlingCorruptedMeasurements -- ForecastingAidedStateEstimation -- PhasorAidedStateEstimation -- PowerNetworkBranchParameters -- Closure.</tableOfContents>
  <note type="statement of responsibility">by Milton Brown Do Coutto Filho.</note>
  <subject authority="lcsh">
    <topic>Electric power production</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Power electronics</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Electric power distribution</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Energy policy</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Energy and state</topic>
  </subject>
  <subject>
    <topic>Electrical Power Engineering</topic>
  </subject>
  <subject>
    <topic>Power Electronics</topic>
  </subject>
  <subject>
    <topic>Energy Grids and Networks</topic>
  </subject>
  <subject>
    <topic>Energy Policy, Economics and Management</topic>
  </subject>
  <subject>
    <topic>Mechanical Power Engineering</topic>
  </subject>
  <classification authority="lcc">TK1001-1841</classification>
  <relatedItem type="host">
    <titleInfo>
      <title>Springer Nature eBook</title>
    </titleInfo>
  </relatedItem>
  <relatedItem type="otherFormat" displayLabel="Printed edition:"/>
  <relatedItem type="otherFormat" displayLabel="Printed edition:"/>
  <relatedItem type="otherFormat" displayLabel="Printed edition:"/>
  <relatedItem type="series">
    <titleInfo>
      <title>Power Systems</title>
    </titleInfo>
  </relatedItem>
  <identifier type="isbn">9783031632884</identifier>
  <identifier type="uri">https://doi.org/10.1007/978-3-031-63288-4</identifier>
  <location>
    <url>https://doi.org/10.1007/978-3-031-63288-4</url>
  </location>
  <recordInfo>
    <recordCreationDate encoding="marc">240724</recordCreationDate>
    <recordChangeDate encoding="iso8601">20251030112647.0</recordChangeDate>
    <recordIdentifier source="DE-He213">978-3-031-63288-4</recordIdentifier>
  </recordInfo>
</mods>
