Dongjin Cho

发表

A scenario-based optimization model for determining the capacity of a residential off-grid PV-battery system

J. Valenzuela, Dongjin Cho, 2022, Solar Energy.

Optimization of residential off-grid PV-battery systems

J. Valenzuela, Dongjin Cho, 2020 .

Downscaling MODIS nighttime land surface temperatures in urban areas using ASTER thermal data through local linear forest

J. Im, P. Sismanidis, Dongjin Cho, 2022, Int. J. Appl. Earth Obs. Geoinformation.

Development of model output statistics based on the least absolute shrinkage and selection operator regression for forecasting next‐day maximum temperature in South Korea

J. Im, Dongjin Cho, Myong-in Lee, 2022 .

Improvement of spatial interpolation accuracy of daily maximum air temperature in urban areas using a stacking ensemble technique

Jungho Im, Cheolhee Yoo, Dongjin Cho, 2020 .

All-Sky 1 km MODIS Land Surface Temperature Reconstruction Considering Cloud Effects Based on Machine Learning

J. Im, Dongjin Cho, C. Yoo, 2022, Remote. Sens..

Comparative Assessment of Various Machine Learning‐Based Bias Correction Methods for Numerical Weather Prediction Model Forecasts of Extreme Air Temperatures in Urban Areas

Cheolhee Yoo, Dongjin Cho, Jungho Im, 2020, Earth and Space Science.

Estimation of All-Weather 1 km MODIS Land Surface Temperature for Humid Summer Days

Naoto Yokoya, Junshi Xia, Cheolhee Yoo, 2020, Remote. Sens..

Improving Local Climate Zone Classification Using Incomplete Building Data and Sentinel 2 Images Based on Convolutional Neural Networks

Cheolhee Yoo, Yeonsu Lee, Dongjin Cho, 2020, Remote Sensing.

A novel ensemble learning for post-processing of NWP Model's next-day maximum air temperature forecast in summer using deep learning and statistical approaches

J. Im, Dongjin Cho, C. Yoo, 2022, Weather and Climate Extremes.

Spatial Downscaling of MODIS Land Surface Temperature: Recent Research Trends, Challenges, and Future Directions

J. Im, Dongjin Cho, Sumin Park, 2020 .

Development of MOS based on LASSO Regression for Forecasting Next‐day Maximum Temperature in South Korea

J. Im, Dongjin Cho, Myong-in Lee, 2022, Quarterly Journal of the Royal Meteorological Society.

A hybrid machine learning approach to investigate the changing urban thermal environment by dynamic land cover transformation: A case study of Suwon, republic of Korea

Dongjin Cho, C. Yoo, Ju-Hun Im, 2023, Int. J. Appl. Earth Obs. Geoinformation.

Scheduling energy consumption for residential stand-alone photovoltaic systems

Jorge Valenzuela, Dongjin Cho, J. Valenzuela, 2019, Solar Energy.

Diurnal urban heat risk assessment using extreme air temperatures and real-time population data in Seoul

Dongjin Cho, C. Yoo, Ju-Hun Im, 2023, iScience.