3. Wooseop Lee, 2021, Prediction Model of Average Temperature based on Characteristic of Urban-space Using LSTM and GRU: The Case of Wonju City, The Korea ...
Prediction Model of Average Temperature based on Characteristic of Urban-space Using LSTM and GRU: The Case of Wonju City. Article. Full-text available. Jun ...
Prediction Model of Average Temperature based on Characteristic of Urban-space Using LSTM and GRU: The Case of Wonju City ¡¤ Woo-Seop Lee,Hyungkyoo Kim. The ...
Oct 10, 2024 ¡¤ The LSTM model's learning is more accurate and reliable to predict repair and maintenance costs of apartment complex, compared to the RNN and ...
Prediction Model of Average Temperature based on Characteristic of Urban-space Using LSTM and GRU: The Case of Wonju City. Article. Full-text available. Jun ...
Prediction Model of Average Temperature Based on Characteristic of Urban-space Using LSTM and GRU: the Case of Wonju City ¡¤ Wooseop Lee,Hyungkyoo Kim. Gugto ...
Mar 26, 2021 ¡¤ Each variable shows the values in a different range due to the differences in units of measure- ment and the characteristics within the region.
In the prediction of solar power generation, LSTM-CNN model was used to extract temporal and spatial feature information from data, As a result of the ...
Missing: Characteristic Urban-
This study used daily data for five years in predicting PM 2.5 concentrations in eight Korean cities through deep learning models.
To clarify,this means that a certain model would perform better depending on the city's regional characteristics. ... concentration prediction in Wonju by two ...