Environmental Big Data Platform and Center Construction Project
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Funding
National Information Society Agency (NIA)
Role
Principal Investigator & Participating Researcher
(Jan 2020 - Dec 2021)
Task
-Development of Indoor Air Quality Estimation and Prediction Algorithm Considering Indoor Environmental Factors
-Development of IoT Big Data Preprocessing Technology: Development of Missing Data Restoration Algorithm
Overview
Development of Indoor Air Quality Estimation and Prediction Algorithm Considering Indoor Environmental Factors
Bi-LSTM model is designed to reflect the dynamic characteristics of time series data and occupant information
Batch multivariate sequence prediction is used to consider trends in indoor air quality changes based on occupants
Development of IoT Big Data Preprocessing Technology: Development of Missing Data Restoration Algorithm
Enhancement of Missing Data Restoration Algorithm Considering Seasonal Decomposition
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