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Data Gathering and Application to Building Energy Optimization with Sensitivity Analysis for IoT Applications

    • Xi'an Jiaotong-Liverpool University

    Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

    3 Citations (Scopus)

    Abstract

    Building energy optimization has much related with energy saving and building maintenance viewpoint as well. First we face with building modelling problem. Then it is naturally followed the issue by how exact or how efficient it is. Generally, analytical approach meets rather complex and complicate to express with exactly. Hence, we normally design the system model with possible and accessible input/output data with IoT sensor. That is Neural Network (NN), and it has been focused nowadays. In this paper, we will focus on the building modelling with NN based on input and output data such as temperature, working days, humidity, weather characteristics and electrical consumption for IoT applications. Modelling verification will be followed with test data, and performance also evaluated.

    Original languageEnglish
    Title of host publicationProceedings - 2019 International SoC Design Conference, ISOCC 2019
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages184-185
    Number of pages2
    ISBN (Electronic)9781728124780
    DOIs
    Publication statusPublished - Oct 2019
    Event16th International System-on-Chip Design Conference, ISOCC 2019 - Jeju, Korea, Republic of
    Duration: 6 Oct 20199 Oct 2019

    Publication series

    NameProceedings - 2019 International SoC Design Conference, ISOCC 2019

    Conference

    Conference16th International System-on-Chip Design Conference, ISOCC 2019
    Country/TerritoryKorea, Republic of
    CityJeju
    Period6/10/199/10/19

    Keywords

    • Data gathering
    • Data generation
    • IoT sensor
    • building energy

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