Development of an IoT-based big data platform for day-ahead prediction of building heating and cooling demands

X. J. Luo*, Lukumon O. Oyedele, Anuoluwapo O. Ajayi, Chukwuka G. Monyei, Olugbenga O. Akinade, Lukman A. Akanbi

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    78 Citations (SciVal)
    Original languageEnglish
    Article number100926
    JournalAdvanced Engineering Informatics
    Volume41
    DOIs
    Publication statusPublished (VoR) - Aug 2019

    Funding

    The authors would like to acknowledge and express their sincere gratitude to The UK Department for Business, Energy & Industrial Strategy (BEIS) through grant project number TEIF-101-7025 and Engineering and Physical Science Research Council (EPSRC) grant reference number EP/S031480/1 . Opinions expressed and conclusions arrived at are those of the authors and are not to be attributed to BEIS.

    FundersFunder number
    Department for Business, Energy and Industrial Strategy, UK GovernmentTEIF-101-7025
    Engineering and Physical Sciences Research CouncilEP/S031480/1

      Keywords

      • Artificial neural network
      • Big data
      • Building heating and cooling demand
      • Clustering
      • Day-ahead prediction
      • Internet of Things

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