A blended approach incorporating TVFEMD, PSR, NNCT-based multi-model fusion and hierarchy-based merged optimization algorithm for multi-step wind speed prediction

A composite framework coupling multiple feature selection, compound prediction models and novel hybrid swarm optimizer-based synchronization optimization strategy for multi-step ahead short-term wind speed forecasting

(2020) Wenlong Fu et al.   ENERGY CONVERSION AND MANAGEMENT

Multiobjective Optimal Control of FOPID Controller for Hydraulic Turbine Governing Systems Based on Reinforced Multiobjective Harris Hawks Optimization Coupling with Hybrid Strategies

(2020) Wenlong Fu et al.   COMPLEXITY

Negative correlation learning-based RELM ensemble model integrated with OVMD for multi-step ahead wind speed forecasting

(2020) Tian Peng et al.   RENEWABLE ENERGY

Short-term wind speed prediction using time varying filter-based empirical mode decomposition and group method of data handling-based hybrid model

(2020) Yan Jiang et al.   ENERGY CONVERSION AND MANAGEMENT

A compound framework for wind speed forecasting based on comprehensive feature selection, quantile regression incorporated into convolutional simplified long short-term memory network and residual error correction

(2020) Kai Wang et al.   ENERGY CONVERSION AND MANAGEMENT

Coordinated approach fusing time-shift multiscale dispersion entropy and vibrational Harris hawks optimization-based SVM for fault diagnosis of rolling bearing

(2020) Kaixuan Shao et al.   MEASUREMENT

A Novel Multi-Agent DDQN-AD Method-Based Distributed Strategy for Automatic Generation Control of Integrated Energy Systems

(2020) Lei Xi et al.   IEEE Transactions on Sustainable Energy

A hybrid approach for multi-step wind speed forecasting based on two-layer decomposition, improved hybrid DE-HHO optimization and KELM

(2020) Wenlong Fu et al.   RENEWABLE ENERGY

Short term electric load forecasting model and its verification for process industrial enterprises based on hybrid GA-PSO-BPNN algorithm—A case study of papermaking process

(2019) Yusha Hu et al.   ENERGY

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

Multi-step short-term wind speed forecasting approach based on multi-scale dominant ingredient chaotic analysis, improved hybrid GWO-SCA optimization and ELM

(2019) Wenlong Fu et al.   ENERGY CONVERSION AND MANAGEMENT

A novel hybrid model for short-term wind power forecasting

(2019) Pei Du et al.   APPLIED SOFT COMPUTING

Long Short-Term Memory Network based on Neighborhood Gates for processing complex causality in wind speed prediction

(2019) Zhendong Zhang et al.   ENERGY CONVERSION AND MANAGEMENT

A hybrid approach for measuring the vibrational trend of hydroelectric unit with enhanced multi-scale chaotic series analysis and optimized least squares support vector machine

(2019) Wenlong Fu et al.   TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL

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

(2019) Zhendong Zhang et al.   APPLIED ENERGY

One dimensional convolutional neural network architectures for wind prediction

(2019) Shubhi Harbola et al.   ENERGY CONVERSION AND MANAGEMENT

Harris hawks optimization: Algorithm and applications

(2019) Ali Asghar Heidari et al.   Future Generation Computer Systems-The International Journal of eScience

A combined forecasting model for time series: Application to short-term wind speed forecasting

(2019) Zhenkun Liu et al.   APPLIED ENERGY

Deep solar radiation forecasting with convolutional neural network and long short-term memory network algorithms

(2019) Sujan Ghimire et al.   APPLIED ENERGY

Gaussian mixture model coupled recurrent neural networks for wind speed interval forecast

(2019) Shuang Zhu et al.   ENERGY CONVERSION AND MANAGEMENT

Short-Term Wind Speed Interval Prediction Based on Ensemble GRU Model

(2019) Chaoshun Li et al.   IEEE Transactions on Sustainable Energy

Deep Learning Method Based on Gated Recurrent Unit and Variational Mode Decomposition for Short-Term Wind Power Interval Prediction

(2019) Ruoheng Wang et al.   IEEE Transactions on Neural Networks and Learning Systems

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

(2018) Madasthu Santhosh et al.   ENERGY CONVERSION AND MANAGEMENT

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

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

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

Big multi-step wind speed forecasting model based on secondary decomposition, ensemble method and error correction algorithm

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

Smart multi-step deep learning model for wind speed forecasting based on variational mode decomposition, singular spectrum analysis, LSTM network and ELM

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

Seasonal streamflow forecasts using mixture-kernel GPR and advanced methods of input variable selection

(2018) Shuang Zhu et al.   HYDROLOGY RESEARCH

Seasonal streamflow forecasts using mixture-kernel GPR and advanced methods of input variable selection

(2018) Shuang Zhu et al.   Hydrology Research

A wind speed interval prediction system based on multi-objective optimization for machine learning method

(2018) Ranran Li et al.   APPLIED ENERGY

Deep belief network based k-means cluster approach for short-term wind power forecasting

(2018) Kejun Wang et al.   ENERGY

Wind Speed Prediction of IPSO-BP Neural Network Based on Lorenz Disturbance

(2018) Yagang Zhang et al.   IEEE Access

Wind speed prediction model using singular spectrum analysis, empirical mode decomposition and convolutional support vector machine

(2018) Xiwei Mi et al.   ENERGY CONVERSION AND MANAGEMENT

A novel combined model based on echo state network for multi-step ahead wind speed forecasting: A case study of NREL

(2018) Yanhua Chen et al.   ENERGY CONVERSION AND MANAGEMENT

Vibration trend measurement for a hydropower generator based on optimal variational mode decomposition and an LSSVM improved with chaotic sine cosine algorithm optimization

(2018) Wenlong Fu et al.   MEASUREMENT SCIENCE and TECHNOLOGY

A novel combination forecasting model for wind power integrating least square support vector machine, deep belief network, singular spectrum analysis and locality-sensitive hashing

(2018) Yachao Zhang et al.   ENERGY

A combined model based on CEEMDAN and modified flower pollination algorithm for wind speed forecasting

(2017) Wenyu Zhang et al.   ENERGY CONVERSION AND MANAGEMENT

Research and application of a novel hybrid forecasting system based on multi-objective optimization for wind speed forecasting

(2017) Pei Du et al.   ENERGY CONVERSION AND MANAGEMENT

Comparative study on three new hybrid models using Elman Neural Network and Empirical Mode Decomposition based technologies improved by Singular Spectrum Analysis for hour-ahead wind speed forecasting

(2017) Chuanjin Yu et al.   ENERGY CONVERSION AND MANAGEMENT

A time varying filter approach for empirical mode decomposition

(2017) Heng Li et al.   SIGNAL PROCESSING

The Whale Optimization Algorithm

(2016) Seyedali Mirjalili et al.   ADVANCES IN ENGINEERING SOFTWARE

Modelling a combined method based on ANFIS and neural network improved by DE algorithm: A case study for short-term electricity demand forecasting

(2016) Yi Yang et al.   APPLIED SOFT COMPUTING

Financial security evaluation of the electric power industry in China based on a back propagation neural network optimized by genetic algorithm

(2016) Wei Sun et al.   ENERGY

Wind speed forecasting based on wavelet packet decomposition and artificial neural networks trained by crisscross optimization algorithm

(2016) Anbo Meng et al.   ENERGY CONVERSION AND MANAGEMENT

Elite opposition-based flower pollination algorithm

(2016) Yongquan Zhou et al.   NEUROCOMPUTING

Analysis and application of forecasting models in wind power integration: A review of multi-step-ahead wind speed forecasting models

(2016) Jianzhou Wang et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Air pollutants concentrations forecasting using back propagation neural network based on wavelet decomposition with meteorological conditions

(2016) Yun Bai et al.   Atmospheric Pollution Research

Combined forecasting models for wind energy forecasting: A case study in China

(2015) Ling Xiao et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

ARMA based approaches for forecasting the tuple of wind speed and direction

(2010) Ergin Erdem et al.   APPLIED ENERGY

Short-term electricity prices forecasting based on support vector regression and Auto-regressive integrated moving average modeling

(2010) Jinxing Che et al.   ENERGY CONVERSION AND MANAGEMENT