Yang-Seon Kim

Assistant Professor

Wichita State University

United States

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Yang-Seon Kim is an Assistant Professor at Wichita State University, USA. His research areas include the application of artificial neural networks in predicting electricity consumption in buildings, as well as the impact of occupancy rates, local weather conditions, and plug load data on energy usage. Additionally, he investigates the relationship between indoor air quality and mechanical ventilation systems in residential homes.

Articles (4)

Year:

2025

Year:

2020

Year:

2020

Year:

2020

Collaborators (1)

Moon Keun Kim

Professor

OsloMet – Oslo Metropolitan University

NORWAY

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Yang-Seon Kim

Research Interests

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Articles (4)

Investigating the impact of data normalization methods on predicting electricity consumption in a building using different artificial neural network models

Impact of correlation of plug load data, occupancy rates and local weather conditions on electricity consumption in a building using four back-propagation neural network models

Predictions of electricity consumption in a campus building using occupant rates and weather elements with sensitivity analysis: Artificial neural network vs. linear regression

Indoor Air Quality in California Homes with Code‐Required Mechanical Ventilation

Collaborators (1)

Moon Keun Kim

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