ScholarWorks@Korea University: Heo, Yeon sook

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Heo, Yeon sook (허연숙)

College of Engineering (School of Civil, Environmental and Architectural Engineering)

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Tel 02-3290-4867
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Temporal variation:3||Uncertainty analysis:3||Residential community:3||Buoyancydriven ventilation:2||Household variation:2||Residential buildings:2||Operation strategy:2||Internal electricity load:2||Probabilistic model:2||Preheating:2||uncertainty quantification:2||archetype space:1||Bayesian inference:1||Uncertainty:1||주거 커뮤니티:1||예열효과:1||Doubleskin facade design:1||Rulebased control strategy:1||Fresh air supply:1||이중외피:1||Implications:1||Urban canopy model:1||Older adults' life quality:1||Vertical contribution:1||Interaction effects:1||thermostatic radiator valve:1||state space model:1||Inverse problems:1||Bayesian computation:1||Residential electricity demand:1||Multiobjective optimization:1||세대별 변동성:1||패시브설계:1||Thresholdpiecewise model:1||Prediction horizon:1||mortality:1||dynamic population:1||파라메트릭 분석:1||Pedestrianlevel temperature:1||Urban heat island (UHI):1||High PV penetration on roofs:1||Photovoltaic (PV) surplus:1||Weatherresponsive air conditioning setpoint:1||Individual building variation:1||Multidisciplinary welfare service:1||Air pollution:1||Passive cooling:1||Streetlevel urban heat island:1||Radiator systems:1||building energy model:1||Thermal response test (TRT):1||Parameter estimation:1||Electricity consumption modelling:1||Load shifting:1||urban shading prediction:1||Building simplification:1||Life cycle performance:1||Rulebased operation:1||HVAC energy saving:1||Urban characteristics:1||Dynamic rulebased control:1||Heterogeneous data utilization:1||Nonresidential buildings:1||Doppler LiDAR:1||Landuse regression model:1||Solid oxide fuel cell:1||Partial load:1||Renewable energy:1||Nonlinear relationship:1||Coupled model:1||model calibration:1||preheating effect:1||energy savings:1||Compartmentalized doubleskin fagade:1||Indoor environmental quality:1||Integrated neural network:1||Energy system mix:1||Fuel cell system:1||Structured probabilistic models:1||패시브 태양열 난방:1||Energy prosumer:1||Energy management system:1||IoTbased life pattern monitoring:1||Overheating risk:1||model reduction:1||Groundsource heat pump (GSHP):1||PV system model:1||Electricity load profile:1||Doubleskin façade (DSF):1||확률적 모델:1||Autoregressive with exogenous inputs:1||Weight:1||Building integrated control:1||Heuristic approach:1||신선한 외기 공급:1||Machine learning:1||Distributed energy system:1||Centrifugal compressor:1||Passive houses:1||Thermal comfort model:1||Uncertainty assessment:1||Building energy:1||Land surface temperature:1||passive design:1||Selfsufficiency:1||Battery:1||Hydrogen storage system:1||air pollution:1||machine learning:1||EMS:1||Heat and power supply:1||Residential communities:1||Solar air heating:1||Land surface temperature (LST):1||Outdoor air temperature (OAT):1||Load reduction:1||Structured stochastic models:1||Highdensity city:1||Urban ventilation:1||Computational fluid dynamics (CFD):1||Control strategy:1||Heattopower ratio:1||Surface watersource heat pump:1||inverse problems:1||Bayesian calibration:1||Uncertainty propagation:1||Demandside management:1||distributed PV integration:1||Passive design strategy:1||Urban microclimate:1||Domestic hot water load:1||급탕 부하:1||에너지절감:1||Model predictive control:1||landuse regression model:1||Doubleskin fagade:1||Multi objective control:1||Hybrid renewable energy system:1||Parametric analysis:1||Urban scale:1||Change over ventilation:1||Model evaluation:1||Energy cost saving:1||Older adults' thermal comfort:1||Random forest regression:1||energy system model:1||Structural biased error:1||Groundwater flow:1||Timeofuse pricing:1||Smart meters:1||urbanscale solar analysis:1||Sensitivity analysis:1||Urban spatial heterogeneity:1||Dynamic compartmentalization:1||시간별 변동성:1||이중외피설계:1||model:1||incidence:1||Doubleskin facade:1||Airflow window system:1||Energy storage device:1||Thermal energy storage:1||SHAP method:1||Urban and meteorological factors:1||

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