Assessment of hybrid machine learning algorithms using TRMM rainfall data for daily inflow forecasting in Três Marias Reservoir, eastern Brazil
This study investigates the application of the Gaussian Radial Basis Function Neural
Network (GRNN), Gaussian Process Regression (GPR), and Multilayer Perceptron …
Network (GRNN), Gaussian Process Regression (GPR), and Multilayer Perceptron …
A fusion-based framework for daily flood forecasting in multiple-step-ahead and near-future under climate change scenarios: a case study of the Kan River, Iran
This study proposes a novel fusion framework for flood forecasting based on machine-
learning, statistical, and geostatistical models for daily multiple-step-ahead and near-future …
learning, statistical, and geostatistical models for daily multiple-step-ahead and near-future …
A novel model for runoff prediction based on the ICEEMDAN-NGO-LSTM coupling
C Yang, Y Jiang, Y Liu, S Liu, F Liu - Environmental Science and Pollution …, 2023 - Springer
Prediction of runoff trends is a critical topic in hydrological forecasting. Accurate and reliable
prediction models are important for the rational use of water resources. This paper proposes …
prediction models are important for the rational use of water resources. This paper proposes …
[HTML][HTML] Plant-Scale Biogas Production Based on Integrating of CEEMDAN Decomposition with PSO Optimized Multilayer Perceptron Neural Network
D Kong, L Chu, P Yang, Y Guan, H Xu, J Chen, Y Yu… - Fermentation, 2024 - mdpi.com
Accurate and dependable forecasting of biogas production is vital for optimizing process
parameters and maintaining stable operation in large-scale anaerobic digestion projects. In …
parameters and maintaining stable operation in large-scale anaerobic digestion projects. In …
Multi-model fusion-based framework for daily flood forecasting in multiple-step-ahead and near future under climate change scenarios
This study proposes a novel fusion framework for flood forecasting based on machine
learning, statistical, and geostatistical models for daily multiple-step-ahead and near future …
learning, statistical, and geostatistical models for daily multiple-step-ahead and near future …
Research on Runoff Flow Prediction Based on Variational Mode Decomposition and PSO-SVM Model
P Zhou, D Yang, R Wang, S Yang… - 2023 IEEE 7th …, 2023 - ieeexplore.ieee.org
Runoff prediction is an important part of water level monitoring and warning, which is very
important for hydropower generation and energy recycling. Traditional signal decomposition …
important for hydropower generation and energy recycling. Traditional signal decomposition …