Social Housing Smart Meter-An AI-Enabled Big Data Analysis for Energy-Saving Empirical Project by the Industrial Technology Research Institute
- Category:Smart Building
Status:Complete The Taipei City Government plans to have a demonstration field for a smart social housing community. The total construction expenditure has been increased by 3-5% of the budget to build smart facilities and set up "three smart meters (water, electricity and gas meters)" to make equipment and system inside buildings achieve higher energy efficiency when in operation. It is hoped that through the use PoC proposals, suitable vendors can be identified to assist in the AI big data analysis of smart meter data. The collection and analysis of big data for commercial use can provide various bureaus and departments and the residents in the social housing with energy-saving recommendations. This trial project is a collaboration with the Industrial Technology Research Institute. Smart meters are used for recording the energy consumption in public spaces and homes, and machine learning and artificial neural network are adopted to conduct dynamic analysis of energy consumption in communities to learn about the daily life patterns and energy consumption behaviors in communities. The amount of energy consumption, orientation, facade and floor of buildings and other characteristics in communities (floors) are incorporated into the analysis to find their correlation, which can help to predict residential type and conduct planning based on the data.


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