• DocumentCode
    249356
  • Title

    Real-Time Integration of Building Energy Data

  • Author

    Anjos, Diogo ; Carreira, Paulo ; Francisco, Alexandre P.

  • Author_Institution
    INESC-ID Lisboa, Inst. Super. Tecnico Lisboa, Lisbon, Portugal
  • fYear
    2014
  • fDate
    June 27 2014-July 2 2014
  • Firstpage
    250
  • Lastpage
    257
  • Abstract
    An Energy Management System (EMS) is a monitoring tool that tracks buildings energy consumption with the purpose of enhancing energy efficiency, by identifying savings opportunities and misuse situations. To achieve this, EMSs collect data flows-data streams-from a network of energy meters and sensors, which are then combined into useful information. Data must be processed in real-time, to support a timely decision making process. Traditionally EMSs use Database Management Systems (DBMSs) to process data, introducing a persistence step that leads to an unacceptable latency on data evaluation and do not properly support many types of time-series queries. This work explores the feasibility of Data Stream Management Systems (DSMSs) to support Energy Management applications, pointing out how to implement an EMS capable of real-time data processing.
  • Keywords
    building management systems; decision making; energy management systems; time series; EMS; building energy data; data stream management systems; decision making process; energy consumption; energy management system; energy meters; real-time data processing; real-time integration; time-series queries; Buildings; Data processing; Energy management; Engines; Monitoring; Real-time systems; Sensors; Energy Management Systems; Real-Time Data Stream Processing; Real-Time Querying of Energy Data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Big Data (BigData Congress), 2014 IEEE International Congress on
  • Conference_Location
    Anchorage, AK
  • Print_ISBN
    978-1-4799-5056-0
  • Type

    conf

  • DOI
    10.1109/BigData.Congress.2014.44
  • Filename
    6906786