IDEAS home Printed from https://ideas.repec.org/a/igg/jban00/v1y2014i1p1-15.html
   My bibliography  Save this article

Analytics for Smarter Buildings

Author

Listed:
  • Young M. Lee

    (IBM Thomas J. Watson Research Center, Yorktown, NY, USA)

  • Lianjun An

    (IBM Thomas J. Watson Research Center, Yorktown, NY, USA)

  • Fei Liu

    (IBM Thomas J. Watson Research Center, Yorktown, NY, USA)

  • Raya Horesh

    (IBM Thomas J. Watson Research Center, Yorktown, NY, USA)

  • Young Tae Chae

    (IBM Thomas J. Watson Research Center, Yorktown, NY, USA)

  • Rui Zhang

    (IBM Thomas J. Watson Research Center, Yorktown, NY, USA)

Abstract

Buildings consume about 40% of the total energy in most countries contributing to a significant amount of greenhouse gas (GHG) emissions and global warming. Therefore, reducing energy consumption in buildings, making buildings more energy efficient and operating buildings in more energy efficient manner are important tasks in today's world. Analytics can play an important role in identifying energy saving opportunities in buildings by modeling and analyzing how energy is consumed in buildings. In this paper, a set of analytics which can assist building owners, facility managers, operators and tenants of buildings in assessing, benchmarking, diagnosing, tracking, forecasting, simulating and optimizing energy consumption is presented.

Suggested Citation

  • Young M. Lee & Lianjun An & Fei Liu & Raya Horesh & Young Tae Chae & Rui Zhang, 2014. "Analytics for Smarter Buildings," International Journal of Business Analytics (IJBAN), IGI Global, vol. 1(1), pages 1-15, January.
    • Handle: RePEc:igg:jban00:v:1:y:2014:i:1:p:1-15
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijban.2014010101
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jban00:v:1:y:2014:i:1:p:1-15. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.