• DocumentCode
    466221
  • Title

    A Semantic Based Software Architecture for Power Market Information Integration

  • Author

    Huang, Garng M. ; Lei, Jiansheng

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX
  • fYear
    2007
  • fDate
    24-28 June 2007
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Information integration has become a critical challenge during power deregulation due to many significant issues such as how to efficiently manage and incorporate the information sources that are independently distributed nationwide and how to make the information integration system more reusable, flexible and adaptive to changing market rules. To meet the above challenges, a new software architecture is proposed based on the concept of semantic ontology, where information sources are integrated into a semantic knowledge warehouse (SKW). A semantic reasoning software component (SRSC) is developed accordingly to automatically deduct new information from SKW. Such a software architecture is very suitable for the information integration in power market. Furthermore, the concept of deduction credibility is proposed to further refine the reasoning process in SRSC.
  • Keywords
    ontologies (artificial intelligence); power markets; semantic networks; software architecture; distributed nationwide; power deregulation; power market information integration; semantic based software architecture; semantic knowledge warehouse; semantic ontology; semantic reasoning software component; Application software; Computer integrated manufacturing; Energy management; Medical services; Ontologies; Power markets; Power system management; Power systems; Software architecture; Software performance; Deduction Credibility; Information Integration; Power Market; Semantic Knowledge Warehouse; Semantic Reasoning Software Component;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society General Meeting, 2007. IEEE
  • Conference_Location
    Tampa, FL
  • ISSN
    1932-5517
  • Print_ISBN
    1-4244-1296-X
  • Electronic_ISBN
    1932-5517
  • Type

    conf

  • DOI
    10.1109/PES.2007.385799
  • Filename
    4275565