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

Sanghyuk Lee, Jaehoon Cha, Kyeong Soo Kim

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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