ScholarWorks@Korea University: Joo, Sung Kwan

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Joo, Sung Kwan (주성관)

College of Engineering

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Tel 4820
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system studies for superconducting devices:7||superconducting fault current limiter (SFCL):4||relay coordination:4||superconducting fault current limiter:4||Uncertainty:3||power system uncertainty:3||superconducting electric power:3||Distributed generation (DG):3||fault current:3||Demand Response (DR):2||energy storage system (ESS):2||positioning algorithm:2||continuous crystal:2||electric vehicle:2||Photovoltaic generation:2||Load forecasting:2||superconducting cable:2||CrossEntropy Method:2||Transmission Expansion Planning:2||load profile:2||Demand Response Resource (DRR):2||Load Aggregator:2||Lagrangian relaxation:2||renewable energy:2||demand response:2||power system protection:2||virtual power plant (VPP):2||Fault current:2||positron emission tomography:2||Economic assessment:2||wind power:2||demographic characteristics:1||electricity supply and demand:1||Load Disaggregation:1||Conditional ValueatRisk (CVaR):1||Frequency Regulation:1||Home Energy Management System:1||mutual information:1||power system planning:1||Energy conversion:1||Crossentropy:1||Economic impact:1||interregional energy trading:1||decentralized optimization:1||Electricity Market:1||social distancing:1||household energy consumption:1||timeofuse tariff:1||optimal investment timing:1||Vehicle dynamics:1||Pricing:1||structural equation model:1||reliability contribution:1||usage contribution:1||intervalstochastic programming:1||transformation of mixed integer polynomial programming:1||schedule revising:1||wind power curtailment:1||Generalized extreme value distribution:1||Spectroscopic radiation portal monitor:1||Integrated generation and transmission planning:1||Home energy management system:1||Electric vehicle (EV):1||Latin hyperrectangle sampling (LHRS):1||Mahalanobis distance:1||Wind farm investment:1||LSMC (Least Square MonteCarlo):1||Event study:1||blackouts:1||outage cost:1||Fuzzy Goal Programming (FGP):1||Transmission Congestion:1||demand side management:1||mixedlogit model:1||latent class conditional logit analysis:1||Costs:1||Renewable energy sources:1||Transmission pricing:1||Stochastic EV departure:1||superconducting power cable:1||Conditional valueatrisk (CVaR):1||energy resource scheduling:1||spinning reserve:1||Demand side management:1||Seasonal peak load:1||Smart Grid.:1||Power system outage:1||traffic light:1||cascaded events:1||social welfare function (SWF):1||transmission congestion:1||asynchronous communication:1||Distributed Generation (DG):1||system flexibility:1||flexible resource:1||liquidity:1||Generators:1||transmission reserve:1||Similar day selection model:1||customer load grouping:1||VPP schedule:1||system reconfiguration:1||Cepstrum Smoothing:1||Least Squares MonteCarlo:1||Gaussian mixture:1||flat panel photomultiplier tube:1||Coefficient of determination:1||Load Shifting:1||event study:1||parametric analysis:1||transmission expansion:1||power market:1||sequential quadratic programming (SQP):1||demographic characteristic:1||demandside management:1||energy management:1||smart grids:1||photovoltaic power:1||sustainable energy:1||demand response resource:1||expected return and risk:1||Temperature stochastic process:1||EV aggregator:1||Signal Features:1||Detection rate:1||Smart Electric Vehicle Charging:1||Power system planning:1||Decentralized optimal power flow:1||Time series:1||Shapley Value:1||car navigation system:1||continuous slab detector:1||Locational Marginal Pricing:1||Gaussian mixture model:1||variability:1||Mathematical models:1||blackout:1||information asymmetry:1||Shortterm load forecasting:1||integrated generation and transmission planning:1||Energy storage system:1||mixed integer programming:1||Demandside management program:1||Regulation:1||electric power grid:1||economic assessment:1||Pedestrian screening:1||Photovoltaic System:1||Fuzzy polynomial regression:1||fault current constraint:1||Demand Response Operation:1||Polynomial regression:1||Electricity Purchase Cost:1||crossroad detection:1||electricity markets:1||transmission enhancement:1||depth of interaction:1||dynamic programming:1||unit commitment:1||timevarying reproduction number:1||COVID19:1||mixed logit:1||renewable energy certificate (REC):1||consumer attitude:1||Power system reliability:1||renewable energy uncertainty:1||renewable energy development:1||energy transition:1||smart grid:1||distributed energy resource (DER):1||generator maintenance scheduling:1||load aggregators:1||Electrical vehicle:1||Distributed generation:1||congestion cost:1||Nonintrusive Load Monitoring:1||Radionuclide identification:1||Signaltonoise ratio:1||Electric Vehicle:1||Building Energy Management System:1||Smart grid:1||load forecasting:1||SMES:1||Operational efficiency:1||Demand Response:1||principal component analysis:1||statisticsbased positioning algorithm:1||Genetic Algorithm (GA):1||choice experiment:1||investment planning:1||Least Squares Monte Carlo (LSMC):1||backup capacity:1||MIMICs:1||Random variables:1||consumer preference:1||conjoint:1||electric utilities:1||The hybrid CNNLSTM network:1||extreme points:1||VPP portfolio:1||DER allocation:1||Capacity sizing:1||meanvariance portfolio theory:1||overcurrent relay coordination:1||smart heating and air conditioning scheduling:1||customer convenience:1||Frequency regulation:1||wind generation:1||Risk factor:1||emergency control:1||light response modeling:1||longterm planning:1||Tariffs:1||Analytical models:1||Timeofuse tariff:1||Reliability:1||Load flow:1||Power transmission:1||renewable energy sources:1||

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