Chengfu Wang

A review on genetic algorithm: past, present, and future

Ensemble empirical mode decomposition based adaptive wavelet neural network method for wind speed prediction

Chaotic genetic algorithm and the effects of entropy in performance optimization

Adaptive parameterless empirical wavelet transform based time-frequency analysis method and its application to rotor rubbing fault diagnosis

Short-term wind speed prediction: Hybrid of ensemble empirical mode decomposition, feature selection and error correction

Fault Diagnosis Method Based on Principal Component Analysis and Broad Learning System

Short-term wind speed prediction model based on GA-ANN improved by VMD

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

Particle Swarm Optimization: A Comprehensive Survey

The State of Art in Particle Swarm Optimization Based Unit Commitment: A Review

Digital currency forecasting with chaotic meta-heuristic bio-inspired signal processing techniques

Multi-step wind speed forecasting using EWT decomposition, LSTM principal computing, RELM subordinate computing and IEWT reconstruction

Comparison of two new intelligent wind speed forecasting approaches based on Wavelet Packet Decomposition, Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Artificial Neural Networks

Day-ahead unit commitment method considering time sequence feature of wind power forecast error

Analysis of multi-scale chaotic characteristics of wind power based on Hilbert–Huang transform and Hurst analysis

Short-term wind power combined forecasting based on error forecast correction