Monthly rainfall forecasting by a hybrid neural network of discrete wavelet transformation and deep learning

Short-term solar irradiance forecasting using convolutional neural networks and cloud imagery

(2021) Minsoo Choi et al.   Environmental Research Letters

Transfer Learning with Convolutional Neural Networks for Rainfall Detection in Single Images

(2021) Nicla Maria Notarangelo et al.   Water

Applying Wavelet Filters in Wind Forecasting Methods

(2021) José A. Domínguez-Navarro et al.   Energies

Application of temporal convolutional network for flood forecasting

(2021) Yuanhao Xu et al.   Hydrology Research

Prediction of Seasonal Rainfall with One-year Lead Time Using Climate Indices: A Wavelet Neural Network Scheme

(2021) Meysam Ghamariadyan et al.   WATER RESOURCES MANAGEMENT

Performance Enhancement Model for Rainfall Forecasting Utilizing Integrated Wavelet-Convolutional Neural Network

(2020) Kai Lun Chong et al.   WATER RESOURCES MANAGEMENT

Localized Convolutional Neural Networks for Geospatial Wind Forecasting

(2020) Arnas Uselis et al.   Energies

Adaptive Fast Orthogonal Search (FOS) algorithm for forecasting streamflow

(2020) Abdalla Osman et al.   JOURNAL OF HYDROLOGY

Monthly Precipitation Forecasts Using Wavelet Neural Networks Models in a Semiarid Environment

(2020) Javier Estévez et al.   Water

Using long short-term memory networks for river flow prediction

(2020) Wei Xu et al.   HYDROLOGY RESEARCH

Short-term runoff prediction with GRU and LSTM networks without requiring time step optimization during sample generation

(2020) Shuai Gao et al.   JOURNAL OF HYDROLOGY

Reservoir Evaporation Prediction Modeling Based on Artificial Intelligence Methods

(2019) Mohammed Falah Allawi et al.   Water

Streamflow and rainfall forecasting by two long short-term memory-based models

(2019) Lingling Ni et al.   JOURNAL OF HYDROLOGY

Short-term average wind speed and turbulent standard deviation forecasts based on one-dimensional convolutional neural network and the integrate method for probabilistic framework

(2019) Xinyu Zhao et al.   ENERGY CONVERSION AND MANAGEMENT

Real-time 7-day forecast of pollen counts using a deep convolutional neural network

(2019) Yannic Lops et al.   NEURAL COMPUTING & APPLICATIONS

Decomposition genetic programming: An extensive evaluation on rainfall prediction in the context of weather derivatives

(2018) Sam Cramer et al.   APPLIED SOFT COMPUTING

Smart deep learning based wind speed prediction model using wavelet packet decomposition, convolutional neural network and convolutional long short term memory network

(2018) Hui Liu et al.   ENERGY CONVERSION AND MANAGEMENT

Operating a reservoir system based on the shark machine learning algorithm

(2018) Mohammed Falah Allawi et al.   Environmental Earth Sciences

A hybrid support vector regression–firefly model for monthly rainfall forecasting

(2018) A. Danandeh Mehr et al.   International Journal of Environmental Science and Technology

Markov chain-incorporated and synthetic data-supported conditional artificial neural network models for forecasting monthly precipitation in arid regions

(2018) Hafzullah Aksoy et al.   JOURNAL OF HYDROLOGY

Input quality aware convolutional LSTM networks for virtual marine sensors

(2018) Stefan Oehmcke et al.   NEUROCOMPUTING

Hybrid Adaptive Neuro-Fuzzy Models for Water Quality Index Estimation

(2018) Zaher Mundher Yaseen et al.   WATER RESOURCES MANAGEMENT

Stream Flow Forecasting of Poorly Gauged Mountainous Watershed by Least Square Support Vector Machine, Fuzzy Genetic Algorithm and M5 Model Tree Using Climatic Data from Nearby Station

(2018) Rana Muhammad Adnan et al.   WATER RESOURCES MANAGEMENT

Designing Weather Forecasting Model Using Computational Intelligence Tools

(2018) Bashar Muneer Yahya et al.   APPLIED ARTIFICIAL INTELLIGENCE

k-Nearest Neighbor Neural Network Models for Very Short-Term Global Solar Irradiance Forecasting Based on Meteorological Data

(2017) Chao-Rong Chen et al.   Energies

A Pareto-optimal moving average multigene genetic programming model for daily streamflow prediction

(2017) Ali Danandeh Mehr et al.   JOURNAL OF HYDROLOGY

Real-Time Motor Fault Detection by 1-D Convolutional Neural Networks

(2016) Turker Ince et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Hourly Solar Irradiance Prediction Based on Support Vector Machine and Its Error Analysis

(2016) Kuk Yeol Bae et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Forecasting SPEI and SPI Drought Indices Using the Integrated Artificial Neural Networks

(2016) Petr Maca et al.   Computational Intelligence and Neuroscience

Application of ANN and fuzzy logic algorithms for streamflow modelling of Savitri catchment

(2015) Mahesh Kothari et al.   Journal of Earth System Science

Precipitation Estimation Using Support Vector Machine with Discrete Wavelet Transform

(2015) Mohamed Shenify et al.   WATER RESOURCES MANAGEMENT

Fuzzy logic based flood forecasting model for the Kelantan River basin, Malaysia

(2015) Edangodage Duminda Pradeep Perera et al.   Journal of Hydro-environment Research

A comparative study of fuzzy logic systems approach for river discharge prediction

(2014) A.W. Jayawardena et al.   JOURNAL OF HYDROLOGY

Wavelet Analysis-Support Vector Machine Coupled Models for Monthly Rainfall Forecasting in Arid Regions

(2014) Qi Feng et al.   WATER RESOURCES MANAGEMENT