Digital Avatar Value-Added Application for Built Environments: Applying Deep Learning / Bim / Smart Meters / Iot for Energy Management(1/3)

Project Details

Description

Starting from the perspective of electricity safety, UK smart meter open data, and digital avatar, this study explores the value-added application of Taiwan's smart meters. In the past, we have cooperated with the Energy Bureau and ITRI to obtain a small amount of Taiwan smart meter data to analyze the behavior of electricity. This study improves the deep learning LSTM method, so that it can predict the three situations of unsafe electricity: instantaneous power consumption exceeds the standard, and continuous and frequent power consumption exceeds the standard. Additionally, we will establish an early warning system for unsafe electricity usage, and then combine IoT devices to collect environmental data, and use smart meters to predict electricity consumption. Finally, we will construct a virtual world in the field of testing, and demonstrate the power-saving rules in a digitally-divided way, so that residents can predict whether electricity is safe in the future and the power-saving behavior that can be performed in the case of personal privacy protection.
StatusFinished
Effective start/end date1/08/1931/07/20

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

  • SDG 11 - Sustainable Cities and Communities
  • SDG 12 - Responsible Consumption and Production
  • SDG 17 - Partnerships for the Goals

Keywords

  • digital twin
  • digital avatar
  • building information modeling
  • IoT
  • deep learning
  • smart meter
  • energy management

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