Addressing the incorrect usage of wavelet-based hydrological and water resources forecasting models for real-world applications with best practices and a new forecasting framework-Reference-Cited by-同舟云学术

Addressing the incorrect usage of wavelet-based hydrological and water resources forecasting models for real-world applications with best practices and a new forecasting framework

Published:2018-08 Issue: Volume:563 Page:336-353
ISSN:0022-1694
Container-title:Journal of Hydrology
language:en
Short-container-title:Journal of Hydrology

Author:

Quilty John^ORCID,Adamowski Jan

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference123 articles.

1. A wavelet neural network conjunction model for groundwater level forecasting;Adamowski;J. Hydrol.,2011

2. Comparison of multiple linear and nonlinear regression, autoregressive integrated moving average, artificial neural network, and wavelet artificial neural network methods for urban water demand forecasting in Montreal, Canada;Adamowski;Water Resour. Res.,2012

3. Development of a coupled wavelet transform and neural network method for flow forecasting of non-perennial rivers in semi-arid watersheds;Adamowski;J. Hydrol.,2010

4. River flow forecasting using wavelet and cross-wavelet transform models;Adamowski;Hydrol. Process.,2008

5. Development of a short-term river flood forecasting method for snowmelt driven floods based on wavelet and cross-wavelet analysis;Adamowski;J. Hydrol.,2008

Cited by 176 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A long-term dissolved oxygen prediction model in aquaculture using transformer with a dynamic adaptive mechanism;Expert Systems with Applications;2025-01

2. Wavelet-Based precipitation preprocessing for improved drought Forecasting: A Machine learning approach using tunable Q-factor wavelet transform and maximal overlap discrete wavelet transform;Expert Systems with Applications;2024-12

3. An attention-based multi-input LSTM with sliding window-based two-stage decomposition for wind speed forecasting;Applied Energy;2024-12

4. Wavelet local multiple correlation analysis of long-term AOD, LST, and NDVI time-series over different climatic zones of India;Theoretical and Applied Climatology;2024-09-12

5. Long-range hydrological drought forecasting using multi-year cycles in the North Atlantic Oscillation;Journal of Hydrology;2024-09