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Cheol-Soo Park

Seoul National University

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Articles (20)

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Seongkwon Cho

Assistant Professor

Kyunghee University

Deuk-Woo Kim

Senior Researcher

Korea Institute of Civil Engineering and Building Technology

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Cheol-Soo Park

Research Interests

Make your next move.

Explore related searches

Articles (20)

Collaborators (2)

Seongkwon Cho

Deuk-Woo Kim

Make your next move.

Cheol-Soo Park

Research Interests

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Articles (20)

Thermodynamics-aware pre-training for few-shot chiller performance prediction

Towards causal reasoning in building performance modelling with multiple data sources: a viewpoint

From single archetype to multi-sample approach for stock-level retrofit predictions

Target-based risk assessment in building retrofits under climate change: Nonlinear effects of weather data selection

Federated learning for enhancing extrapolation ability of HVAC models: case study on two real-life DOAS units

Toward causality-based MPC: rethinking limitations of data-driven MPC

Causal inference of building energy use based on large-scale operational data: Evidence from heating and cooling energy use in South Korea

Inverse design optimization of building EUI targets: generating diverse solutions and enhancing decision interpretability

Causal graph-based analysis of real-life heat pump heating operation: Correlation vs. causality

Graphical federated MPC for real-life cooling towers and chillers using two simple thermal and energy efficiencies

Causal modelling of occupant window behaviour for indoor temperature prediction

Causality-driven, interpretable surrogate modeling for DOAS preheating control

Explainable fault detection and diagnosis in HVAC systems using a Koopman operator with normal data

Graphical and interpretable control guidance for real-life large cooling water system

Implications of geometry simplification in dynamic building energy modeling: Comparative analysis of detailed and simplified geometries

Measured vs. simulated post-retrofit energy-use in 149 public buildings using dynamic simulation

Multi-domain residual learning framework for improving generalization in chiller Modeling

Policy transfer for HVAC control via implicit diffusion Q-learning

Quantification of predictability, model accuracy, and uncertainty of cooling loads in real-life buildings

Quantitative framework for causality evaluation in data-driven model: A case study of a cooling tower system

Collaborators (2)

Seongkwon Cho

Deuk-Woo Kim

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