Heatwave Damage Prediction Using Random Forest Model in Korea

Heatwave Damage Prediction Using Random Forest Model in Korea

Climate change increases the frequency and intensity of heatwaves, causing significant human and material losses every year. Big data, whose volumes are rapidly increasing, are expected to be used for preemptive responses. However, human cognitive abilities are limited, which can lead to ineffective...

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Bibliographic Details
Main Authors: Minsoo Park, Daekyo Jung, Seungsoo Lee, Seunghee Park
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Applied Sciences
Subjects:
heatwaves
big data
random forest regression model
machine learning
prediction
Online Access:https://www.mdpi.com/2076-3417/10/22/8237

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