Research groups
Research projects
Ongoing research projects
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European Consortium for Advanced Heat Pump Research
The purpose is to identify areas of research, establish parameters, and perform and report on research related to the application of advanced heat pump technology.
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LG R&D Heat Pump
Air source heat pump systems, both air-to-air and air-to-water, utilized for heating buildings in Nordic countries characterized by cold and humid climates, and for heating and cooling systems adapted to other European climates.
Publications and research
Scientific publications
Fremmerlid, Yngve Øye;
Kim, Moon Keun
(2026).
Forecasting Electricity Consumption Using Artificial Neural Networks (ANNs): The Impact of Weather Conditions.
Zilio, Claudio; Busato, Filippo; Mazzarella, Livio; Noro, Marco (Ed.).
Proceedings of the 15th REHVA HVAC World Congress - CLIMA 2025 Volume 1. p. 446-458.
Springer.
https://doi.org/10.1007/978-3-032-10546-2_42
Kim, Moon Keun
; Cremers, Bart; Liu, Jiying
(2025).
Analysing the Impact of Data Normalization on Levenberg-Marquardt Backpropagation (LMBP) Neural Network Predictions for Indoor Air Quality.
E3S Web of Conferences.
Vol. 672.
https://doi.org/10.1051/e3sconf/202567207008
Lee, Jae-Hee
;
Schild, Peter G.
;
Kim, Moon Keun
; CHIN, SIMWON; Kim, Donghan; Yang, Dongkeun; Seo, Beomsoo; Eikevik, Trygve Magne
(2025).
Performance Analysis of Air-to- Water Heat Pump Systems Using R290 Refrigerant Adapted to Nordic Climates.
REHVA European HVAC Journal.
Vol. 62.
https://doi.org/https://www.rehva.eu/rehva-journal
Lee, Jae-Hee
;
Kim, Moon Keun
;
Schild, Peter G.
; Chin, Simwon; Yang, Dongkeun; Moon, Dongsoo
(2025).
Evaluating the Economic and Environmental Benefits of Air-toAir Heat Pump Systems in Nordic Climates.
REHVA European HVAC Journal.
Vol. 62.
https://doi.org/https://www.rehva.eu/rehva-journal
Chen, Guanzhong; Lu, Shengze; Zhou, Shiyu; Tian, Zhe;
Kim, Moon Keun
; Liu, Jiying; Liu, Xingfeng
(2025).
A Systematic Review of Building Energy Consumption Prediction: From Perspectives of Load Classification, Data-Driven Frameworks, and Future Directions.
Applied Sciences.
Vol. 15.
https://doi.org/10.3390/app15063086
Mao, Yudong; Li, Xinwei; Liu, Jiying; Yu, Mingzhi;
Kim, Moon Keun
; Yang, Kaimin
(2025).
Multi-objective optimization of integrated energy systems in natural gas industrial zones: Enhancing performance through variable hydrogen blending ratios.
Applied Thermal Engineering.
Vol. 268.
https://doi.org/10.1016/j.applthermaleng.2025.1259
Zhang, Chao; Ma, Xinbin; Li, Mengxi; Qiu, Yubin;
Kim, Moon Keun
; Liu, Jiying
(2025).
Numerical Analysis of Transient Burn Injury Grading Through Coupled Heat Transfer and Damage Integral Modeling.
Thermo.
Vol. 5.
https://doi.org/10.3390/thermo5010004
Kim, Moon Keun
; Kim, Yang Seon; Fu, Nuodi; Liu, Jiying; Wang, Junqi; Lee, Sanghyuk; Srebric, Jelena
(2025).
Advanced techniques for electricity consumption prediction in buildings using comparative correlation analysis, data normalization, and Long Short-Term Memory (LSTM) networks: A case study of a U.S. commercial building.
Energy Reports.
Vol. 14.
https://doi.org/10.1016/j.egyr.2025.05.074
Kim, Yang Seon;
Kim, Moon Keun
; Fu, Nuodi; Liu, Jiying; Wang, Junqi; Srebric, Jelena
(2025).
Investigating the impact of data normalization methods on predicting electricity consumption in a building using different artificial neural network models.
Sustainable Cities and Society (SCS).
Vol. 118.
https://doi.org/10.1016/j.scs.2024.105570
Lu, Shengze; Zhou, Shiyu; Ding, Yan;
Kim, Moon Keun
; Yang, Bin; Tian, Zhe; Liu, Jiying
(2025).
Exploring the comprehensive integration of artificial intelligence in optimizing HVAC system operations: A review and future outlook.
Results in Engineering (RINENG).
Vol. 25.
https://doi.org/10.1016/j.rineng.2024.103765