JIN WOO MOON

Professor

Chung-Ang University

South Korea

Research Interests

Explore related searches

Professors in South Korea Professors in Energy Engineering Energy Engineering professors in South Korea

Contact this professor

ORCID

Google Scholar

About

Jin Woo Moon is a Professor at Chung-Ang University in South Korea. His research focuses on building energy performance, indoor environmental quality, and innovative ventilation strategies. Recent publications include studies on energy-efficient BIPV window systems and real-time CO2 management for enhanced indoor comfort. He also explores advanced algorithms for occupancy estimation and thermal comfort control using machine learning and computer vision technologies.

JIN WOO MOON

Research Interests

Explore related searches

Contact this professor

About

Articles (18)

Evaluation of the energy and environmental performance of a novel BIPV window system for net-zero energy buildings

Real-time ventilation control for indoor CO2 management using occupant information

Adaptive neural temporal hybridization for missing data imputation in building energy use datasets: An integrated LNN-LSTM weighted model

Application of Life‐Cycle Assessment Approach to Zero Energy Buildings: Case Study of an Office Building in South Korea

CO2‐ and PM2.5‐Focused Optimal Ventilation Strategy Based on Predictive Control

Development and performance evaluation of an indoor thermal environment control algorithm incorporating MET estimation model with object detection

Performance evaluation of an occupant metabolic rate estimation algorithm using activity classification and object detection models

Seasonal effects of thermal comfort control considering real-time clothing insulation with vision-based model

Occupancy estimation using IoT sensors and machine learning: Incorporating ventilation system operating state and preprocessed differential pressure data

Effects of thermal comfort-driven control based on real-time clothing insulation estimated using an image-processing model

Adaptive control algorithm with a retraining technique to predict the optimal amount of chilled water in a data center cooling system

Integrated artificial neural network prediction model of indoor environmental quality in a school building

Development of an adaptive artificial neural network model and optimal control algorithm for a data center cyber–physical system

Comparative analysis of the optimized ANN, SVM, and tree ensemble models using Bayesian optimization for predicting GSHP COP

Development of a Deep Neural Network Model for Estimating Joint Location of Occupant Indoor Activities for Providing Thermal Comfort

Accuracy Analysis of DNN-Based Pose-Categorization Model and Activity-Decision Algorithm

Operation guidelines for daylight dimming control systems in an office with lightshelf configurations

Performance Evaluation of Control Methods for PV-Integrated Shading Devices

Collaborators (4)

Min Hee Chung

Yongseok Jun

Hyeun Jun Moon

An-Seop Choi

How do I reach out?

Meet Kite AI