M-EDEM: A MNN-based Empirical Decomposition Ensemble Method for improved time series forecasting

Forecasting Stock Index Using a Volume-Aware Positional Attention-Based Recurrent Neural Network

(2022) Xinpeng Yu et al.   INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING

Carbon price forecasting based on CEEMDAN and LSTM

(2022) Feite Zhou et al.   APPLIED ENERGY

Modeling and predicting rainfall time series using seasonal-trend decomposition and machine learning

(2022) Renfei He et al.   KNOWLEDGE-BASED SYSTEMS

The potential of integrated hybrid data processing techniques for successive-station streamflow prediction

(2022) Roghayeh Ghasempour et al.   SOFT COMPUTING

CEEMD-MR-hybrid model based on sample entropy and random forest for SO2 prediction

(2022) Suling Zhu et al.   Atmospheric Pollution Research

A Tailings Dam Long-Term Deformation Prediction Method Based on Empirical Mode Decomposition and LSTM Model Combined with Attention Mechanism

(2022) Yang Zhu et al.   Water

Can sampling techniques improve the performance of decomposition-based hydrological prediction models? Exploration of some comparative experiments

(2022) Miao He et al.   Applied Water Science

A novel decomposition-ensemble forecasting system for dynamic dispatching of smart grid with sub-model selection and intelligent optimization

(2022) Jianzhou Wang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Differential Evolution-Based Three Stage Dynamic Cyber-Attack of Cyber-Physical Power Systems

(2022) Kang-Di Lu et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

An effective rolling decomposition-ensemble model for gasoline consumption forecasting

(2021) Lean Yu et al.   ENERGY

Network traffic prediction model based on ensemble empirical mode decomposition and multiple models

(2021) Lian Lian et al.   INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS

Multi-step wind speed forecasting and Hurst analysis using novel hybrid secondary decomposition approach

(2021) Cem Emeksiz et al.   ENERGY

A new scheme for probabilistic forecasting with an ensemble model based on CEEMDAN and AM-MCMC and its application in precipitation forecasting

(2021) Yinan Wang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Ensemble stationary-based support vector regression for drought prediction under changing climate

(2021) Mohammad Hadi Bazrkar et al.   JOURNAL OF HYDROLOGY

Decomposition ensemble model based on variational mode decomposition and long short-term memory for streamflow forecasting

(2020) Ganggang Zuo et al.   JOURNAL OF HYDROLOGY

An Adaptive CEEMDAN Thresholding Denoising Method Optimized by Nonlocal Means Algorithm

(2020) Shuqing Zhang et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

An EMD-SVR model for short-term prediction of ship motion using mirror symmetry and SVR algorithms to eliminate EMD boundary effect

(2020) Zhihong Nie et al.   OCEAN ENGINEERING

An Improved Decomposition-Based Multiobjective Evolutionary Algorithm for IoT Service

(2020) Zheng-Yi Chai et al.   IEEE Internet of Things Journal

A new secondary decomposition ensemble learning approach for carbon price forecasting

(2020) Hongtao Li et al.   KNOWLEDGE-BASED SYSTEMS

A new crude oil price forecasting model based on variational mode decomposition

(2020) Yusheng Huang et al.   KNOWLEDGE-BASED SYSTEMS

Stock price prediction using deep learning and frequency decomposition

(2020) Hadi Rezaei et al.   EXPERT SYSTEMS WITH APPLICATIONS

A combined model based on data preprocessing strategy and multi-objective optimization algorithm for short-term wind speed forecasting

(2019) Xinsong Niu et al.   APPLIED ENERGY

A novel probabilistic wind speed prediction approach using real time refined variational model decomposition and conditional kernel density estimation

(2019) Yan Jiang et al.   ENERGY CONVERSION AND MANAGEMENT

Non-ferrous metals price forecasting based on variational mode decomposition and LSTM network

(2019) Yishun Liu et al.   KNOWLEDGE-BASED SYSTEMS

A Two-Layer Nonlinear Combination Method for Short-Term Wind Speed Prediction Based on ELM, ENN, and LSTM

(2019) Min-Rong Chen et al.   IEEE Internet of Things Journal

An adaptive middle and long-term runoff forecast model using EEMD-ANN hybrid approach

(2018) Qiao-Feng Tan et al.   JOURNAL OF HYDROLOGY

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

(2018) John Quilty et al.   JOURNAL OF HYDROLOGY

A new weighted CEEMDAN-based prediction model: An experimental investigation of decomposition and non-decomposition approaches

(2018) Wang Jun et al.   KNOWLEDGE-BASED SYSTEMS

Examining the applicability of different sampling techniques in the development of decomposition-based streamflow forecasting models

(2018) Wei Fang et al.   JOURNAL OF HYDROLOGY

A weighted EMD-based prediction model based on TOPSIS and feed forward neural network for noised time series

(2017) Wang Jun et al.   KNOWLEDGE-BASED SYSTEMS

Crude oil price analysis and forecasting based on variational mode decomposition and independent component analysis

(2017) Jianwei E et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

A novel hybrid decomposition-and-ensemble model based on CEEMD and GWO for short-term PM2.5 concentration forecasting

(2016) Mingfei Niu et al.   ATMOSPHERIC ENVIRONMENT

Are hybrid models integrated with data preprocessing techniques suitable for monthly streamflow forecasting? Some experiment evidences

(2015) Xiaoli Zhang et al.   JOURNAL OF HYDROLOGY

Short term load forecasting using a hybrid intelligent method

(2015) Adel Abdoos et al.   KNOWLEDGE-BASED SYSTEMS

Variational Mode Decomposition

(2014) Konstantin Dragomiretskiy et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Empirical Wavelet Transform

(2013) Jerome Gilles   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Predictability of nonstationary time series using wavelet and EMD based ARMA models

(2013) L. Karthikeyan et al.   JOURNAL OF HYDROLOGY

GPGPU-Aided Ensemble Empirical-Mode Decomposition for EEG Analysis During Anesthesia

(2010) Dan Chen et al.   IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE

Energy Time Series Forecasting Based on Pattern Sequence Similarity

(2010) Francisco Martinez Alvarez et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

On the HHT, its problems, and some solutions

(2007) R.T. Rato et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING