Short-term runoff prediction using deep learning multi-dimensional ensemble method

Daily runoff forecasting by deep recursive neural network

(2021) Jiangwei Zhang et al.   JOURNAL OF HYDROLOGY

Rainfall-runoff modeling using LSTM-based multi-state-vector sequence-to-sequence model

(2021) Hanlin Yin et al.   JOURNAL OF HYDROLOGY

Operation rule extraction based on deep learning model with attention mechanism for wind-solar-hydro hybrid system under multiple uncertainties

(2021) Zhendong Zhang et al.   RENEWABLE ENERGY

Probabilistic spatiotemporal solar irradiation forecasting using deep ensembles convolutional shared weight long short-term memory network

(2021) Guanjun Liu et al.   APPLIED ENERGY

A hybrid deep learning algorithm and its application to streamflow prediction

(2021) Yongen Lin et al.   JOURNAL OF HYDROLOGY

The importance of short lag-time in the runoff forecasting model based on long short-term memory

(2020) Xi Chen et al.   JOURNAL OF HYDROLOGY

Hybrid artificial intelligence-time series models for monthly streamflow modeling

(2019) Saeid Mehdizadeh et al.   APPLIED SOFT COMPUTING

Wind speed prediction method using Shared Weight Long Short-Term Memory Network and Gaussian Process Regression

(2019) Zhendong Zhang et al.   APPLIED ENERGY

Ensemble spatiotemporal forecasting of solar irradiation using variational Bayesian convolutional gate recurrent unit network

(2019) Yongqi Liu et al.   APPLIED ENERGY

Hybrid forecasting model for non-stationary daily runoff series: A case study in the Han River Basin, China

(2019) Tuo Xie et al.   JOURNAL OF HYDROLOGY

Monthly streamflow forecasting based on hidden Markov model and Gaussian Mixture Regression

(2018) Yongqi Liu et al.   JOURNAL OF HYDROLOGY

Monthly runoff forecasting based on LSTM–ALO model

(2018) Xiaohui Yuan et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Flow Forecasting in a Watershed using Autoregressive Updating Model

(2018) Shirisha Pulukuri et al.   WATER RESOURCES MANAGEMENT

A data-driven model based on Fourier transform and support vector regression for monthly reservoir inflow forecasting

(2018) Xiang Yu et al.   Journal of Hydro-environment Research

Flood Prediction Using Machine Learning Models: Literature Review

(2018) Amir Mosavi et al.   Water

Deep Convolutional Neural Network for Inverse Problems in Imaging

(2017) Kyong Hwan Jin et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Developing reservoir monthly inflow forecasts using artificial intelligence and climate phenomenon information

(2017) Tiantian Yang et al.   WATER RESOURCES RESEARCH

Daily reservoir inflow forecasting using multiscale deep feature learning with hybrid models

(2016) Yun Bai et al.   JOURNAL OF HYDROLOGY

Prediction and modelling of rainfall–runoff during typhoon events using a physically-based and artificial neural network hybrid model

(2015) Chih-Chieh Young et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Long-term runoff study using SARIMA and ARIMA models in the United States

(2015) Mohammad Valipour   METEOROLOGICAL APPLICATIONS

Efficiency enhancement of a process-based rainfall–runoff model using a new modified AdaBoost.RT technique

(2014) Shuang Liu et al.   APPLIED SOFT COMPUTING

3D Convolutional Neural Networks for Human Action Recognition

(2012) Shuiwang Ji et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A comparative study of artificial neural networks and support vector machines for predicting groundwater levels in a coastal aquifer

(2010) Heesung Yoon et al.   JOURNAL OF HYDROLOGY

A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series

(2009) Wen-Chuan Wang et al.   JOURNAL OF HYDROLOGY

Predicting monthly streamflow using data-driven models coupled with data-preprocessing techniques

(2009) C. L. Wu et al.   WATER RESOURCES RESEARCH