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Forecasting wind speed using empirical mode decomposition and Elman neural network

Applied soft computing, 2014-10, Vol.23, p.452-459

2014

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Optimized decomposition and two-step nonlinear integration model with error correction strategy coupled interval prediction for digital currency price forecast

The Artificial intelligence review, 2022-04, Vol.55 (4), p.3283-3314

2022

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An attention mechanism based deep nonlinear ensemble paradigm of strengthened feature extraction method for wind power prediction

Journal of renewable and sustainable energy, 2023-11, Vol.15 (6)

2023

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A Hybrid Wavelet Transform Based Short-Term Wind Speed Forecasting Approach

TheScientificWorld, 2014-01, Vol.2014 (2014), p.1-12

2014

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A seasonal hybrid procedure for electricity demand forecasting in China

Applied energy, 2011-11, Vol.88 (11), p.3807-3815

2011

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Multi-step ahead wind speed prediction based on optimal feature extraction, long short term memory neural network and error correction strategy

Applied energy, 2018-11, Vol.230, p.429-443

2018

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Two-Stage Decomposition Multi-Scale Nonlinear Ensemble Model with Error-Correction-Coupled Gaussian Process for Wind Speed Forecast

Atmosphere, 2023-02, Vol.14 (2), p.395

2023

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Improved Multi-Scale Deep Integration Paradigm for Point and Interval Carbon Trading Price Forecasting

Mathematics (Basel), 2021-10, Vol.9 (20), p.2595

2021

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Estimation of wind speed distribution with time window and new kernel function

Journal of renewable and sustainable energy, 2022-09, Vol.14 (5)

2022

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A Novel Hybrid Strategy Using Three-Phase Feature Extraction and a Weighted Regularized Extreme Learning Machine for Multi-Step Ahead Wind Speed Prediction

Energies (Basel), 2018-02, Vol.11 (2), p.321

2018

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Techniques of applying wavelet de-noising into a combined model for short-term load forecasting

International journal of electrical power & energy systems, 2014-11, Vol.62, p.816-824

2014

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Intelligent Optimization Based Multi-Factor Deep Learning Stock Selection Model and Quantitative Trading Strategy

Mathematics (Basel), 2022-02, Vol.10 (4), p.566

2022

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An enhanced decomposition integration model for deterministic and probabilistic carbon price prediction based on two-stage feature extraction and intelligent weight optimization

Journal of cleaner production, 2023-08, Vol.415, p.137791, Article 137791

2023

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An Experimental Investigation of Two Hybrid Frameworks for Stock Index Prediction Using Neural Network and Support Vector Regression

Economic computation and economic cybernetics studies and research, 2018-01, Vol.52 (4/2018), p.193-210

2018

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An optimal multi-scale and multi-factor two-stage integration paradigm coupled with investor sentiment for carbon price prediction

Information processing & management, 2025-01, Vol.62 (1), Article 103953

2025

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An Optimal Weighted Combined Model Coupled with Feature Reconstruction and Deep Learning for Multivariate Stock Index Forecasting

Mathematics (Basel), 2021-11, Vol.9 (21), p.2640

2021

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Super multi-step wind speed forecasting system with training set extension and horizontal–vertical integration neural network

Applied energy, 2021-06, Vol.292, p.116908, Article 116908

2021

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An interpretable deep learning multi-dimensional integration framework for exchange rate forecasting based on deep and shallow feature selection and snapshot ensemble technology

Engineering applications of artificial intelligence, 2024-07, Vol.133, p.108282, Article 108282

2024

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Cuckoo Search Optimized Integrated Framework Based on Feature Clustering and Deep Learning for Daily Stock Price Forecasting

Economic computation and economic cybernetics studies and research, 2021-01, Vol.55 (3/2021), p.55-70

2021

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A multi-factor two-stage deep integration model for stock price prediction based on intelligent optimization and feature clustering

The Artificial intelligence review, 2023-07, Vol.56 (7), p.7237-7262

2023

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An innovative hybrid approach for multi-step ahead wind speed prediction

Applied soft computing, 2019-05, Vol.78, p.296-309

2019

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An intensive decomposition integration paradigm for short-term wind power forecasting based on feature extraction and optimal weighted combination strategy

Measurement : journal of the International Measurement Confederation, 2023-12, Vol.223, p.113811, Article 113811

2023

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An innovative random forest-based nonlinear ensemble paradigm of improved feature extraction and deep learning for carbon price forecasting

The Science of the total environment, 2021-03, Vol.762, p.143099-143099, Article 143099

2021

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A novel cluster based multi-index nonlinear ensemble framework for carbon price forecasting

Environment, development and sustainability, 2023-07, Vol.25 (7), p.6225-6247

2023

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Hybrid intelligent framework for carbon price prediction using improved variational mode decomposition and optimal extreme learning machine

Chaos, solitons and fractals, 2022-03, Vol.156, p.111783, Article 111783

2022

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Forecasting wind speed using empirical mode decomposition and Elman neural network

Optimized decomposition and two-step nonlinear integration model with error correction strategy coupled interval prediction for digital currency price forecast

An attention mechanism based deep nonlinear ensemble paradigm of strengthened feature extraction method for wind power prediction

A Hybrid Wavelet Transform Based Short-Term Wind Speed Forecasting Approach

A seasonal hybrid procedure for electricity demand forecasting in China

Multi-step ahead wind speed prediction based on optimal feature extraction, long short term memory neural network and error correction strategy

Two-Stage Decomposition Multi-Scale Nonlinear Ensemble Model with Error-Correction-Coupled Gaussian Process for Wind Speed Forecast

Improved Multi-Scale Deep Integration Paradigm for Point and Interval Carbon Trading Price Forecasting

Estimation of wind speed distribution with time window and new kernel function

A Novel Hybrid Strategy Using Three-Phase Feature Extraction and a Weighted Regularized Extreme Learning Machine for Multi-Step Ahead Wind Speed Prediction

Techniques of applying wavelet de-noising into a combined model for short-term load forecasting

Intelligent Optimization Based Multi-Factor Deep Learning Stock Selection Model and Quantitative Trading Strategy

An enhanced decomposition integration model for deterministic and probabilistic carbon price prediction based on two-stage feature extraction and intelligent weight optimization

An Experimental Investigation of Two Hybrid Frameworks for Stock Index Prediction Using Neural Network and Support Vector Regression

An optimal multi-scale and multi-factor two-stage integration paradigm coupled with investor sentiment for carbon price prediction

An Optimal Weighted Combined Model Coupled with Feature Reconstruction and Deep Learning for Multivariate Stock Index Forecasting

Super multi-step wind speed forecasting system with training set extension and horizontal–vertical integration neural network

An interpretable deep learning multi-dimensional integration framework for exchange rate forecasting based on deep and shallow feature selection and snapshot ensemble technology

Cuckoo Search Optimized Integrated Framework Based on Feature Clustering and Deep Learning for Daily Stock Price Forecasting

A multi-factor two-stage deep integration model for stock price prediction based on intelligent optimization and feature clustering

An innovative hybrid approach for multi-step ahead wind speed prediction

An intensive decomposition integration paradigm for short-term wind power forecasting based on feature extraction and optimal weighted combination strategy

An innovative random forest-based nonlinear ensemble paradigm of improved feature extraction and deep learning for carbon price forecasting

A novel cluster based multi-index nonlinear ensemble framework for carbon price forecasting

Hybrid intelligent framework for carbon price prediction using improved variational mode decomposition and optimal extreme learning machine

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