Enhancing Water Temperature Prediction in Stratified Reservoirs: A Process-Guided Deep Learning Approach
Data-driven models (DDMs) are extensively used in environmental modeling yet encounter obstacles stemming from limited training data and potential discrepancies with physical laws. To address this challenge, this study developed a process-guided deep learning (PGDL) model, integrating a long short-t...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-08-01
|
Series: | Water |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-4441/15/17/3096 |