Wind speed forecasting based on variational mode decomposition and improved echo state network

Effective long short-term memory with fruit fly optimization algorithm for time series forecasting

(2020) Lu Peng et al.   SOFT COMPUTING

Variational mode decomposition based symmetric single valued neutrosophic cross entropy measure for the identification of bearing defects in a centrifugal pump

(2020) Anil Kumar et al.   APPLIED ACOUSTICS

Forecasting energy consumption and wind power generation using deep echo state network

(2020) Huanling Hu et al.   RENEWABLE ENERGY

Short-term wind speed forecasting based on the Jaya-SVM model

(2020) Mingshuai Liu et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

An innovative hybrid system for wind speed forecasting based on fuzzy preprocessing scheme and multi-objective optimization

(2019) Chen Li et al.   ENERGY

A novel hybrid model for short-term wind power forecasting

(2019) Pei Du et al.   APPLIED SOFT COMPUTING

Data processing strategies in wind energy forecasting models and applications: A comprehensive review

(2019) Hui Liu et al.   APPLIED ENERGY

A structure with density-weighted active learning-based model selection strategy and meteorological analysis for wind speed vector deterministic and probabilistic forecasting

(2019) Zhuochun Wu et al.   ENERGY

Wind speed reconstruction using a novel Multivariate Probabilistic method and Multiple Linear Regression: advantages compared to the single correlation approach

(2019) Livio Casella   JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS

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

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

Multiobjective big data optimization based on a hybrid salp swarm algorithm and differential evolution

(2019) Mohamed Abd Elaziz et al.   APPLIED MATHEMATICAL MODELLING

Effective energy consumption forecasting using enhanced bagged echo state network

(2019) Huanling Hu et al.   ENERGY

Application of hybrid model based on double decomposition, error correction and deep learning in short-term wind speed prediction

(2019) Zherui Ma et al.   ENERGY CONVERSION AND MANAGEMENT

Maintenance management based on Machine Learning and nonlinear features in wind turbines

(2019) Alfredo Arcos Jiménez et al.   RENEWABLE ENERGY

Effective sparse adaboost method with ESN and FOA for industrial electricity consumption forecasting in China

(2018) Lin Wang et al.   ENERGY

Effective electricity energy consumption forecasting using echo state network improved by differential evolution algorithm

(2018) Lin Wang et al.   ENERGY

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

Wavelet-denoising multiple echo state networks for multivariate time series prediction

(2018) Meiling Xu et al.   INFORMATION SCIENCES

Short-term wind speed forecasting using variational mode decomposition and support vector regression

(2018) Xiaodan Wang et al.   JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

Adaptive variational mode decomposition method for signal processing based on mode characteristic

(2018) Jijian Lian et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Improved near surface wind speed predictions using Gaussian process regression combined with numerical weather predictions and observed meteorological data

(2018) Victoria Hoolohan et al.   RENEWABLE ENERGY

Multilevel thresholding selection based on variational mode decomposition for image segmentation

(2018) Jiafu Li et al.   SIGNAL PROCESSING

An improved differential harmony search algorithm for function optimization problems

(2018) Lin Wang et al.   SOFT COMPUTING

A novel wind speed forecasting system based on hybrid data preprocessing and multi-objective optimization

(2018) Chengshi Tian et al.   APPLIED ENERGY

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

A novel wind speed forecasting based on hybrid decomposition and online sequential outlier robust extreme learning machine

(2018) Dan Zhang et al.   ENERGY CONVERSION AND MANAGEMENT

An echo state network based approach to room classification of office buildings

(2018) Guang Shi et al.   NEUROCOMPUTING

Multi-step wind speed forecasting based on a hybrid decomposition technique and an improved back-propagation neural network

(2018) Zongxi Qu et al.   RENEWABLE ENERGY

Multi-objective differential evolution optimization based on uniform decomposition for wind turbine blade design

(2017) Long Wang et al.   ENERGY

A compound structure of ELM based on feature selection and parameter optimization using hybrid backtracking search algorithm for wind speed forecasting

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

Robust echo state networks based on correntropy induced loss function

(2017) Yu Guo et al.   NEUROCOMPUTING

Genetic algorithm optimized double-reservoir echo state network for multi-regime time series prediction

(2017) Shisheng Zhong et al.   NEUROCOMPUTING

Linear and non-linear autoregressive models for short-term wind speed forecasting

(2016) M. Lydia et al.   ENERGY CONVERSION AND MANAGEMENT

Functional echo state network for time series classification

(2016) Qianli Ma et al.   INFORMATION SCIENCES

Modeling neural plasticity in echo state networks for classification and regression

(2016) Mohd-Hanif Yusoff et al.   INFORMATION SCIENCES

Improved week-ahead predictions of wind speed using simple linear models with wavelet decomposition

(2016) Dennis C. Kiplangat et al.   RENEWABLE ENERGY

Wind speed forecasting based on the hybrid ensemble empirical mode decomposition and GA-BP neural network method

(2016) Shouxiang Wang et al.   RENEWABLE ENERGY

A Multi Time Scale Wind Power Forecasting Model of a Chaotic Echo State Network Based on a Hybrid Algorithm of Particle Swarm Optimization and Tabu Search

(2015) Xiaomin Xu et al.   Energies

Wind speed prediction using the hybrid model of wavelet decomposition and artificial bee colony algorithm-based relevance vector machine

(2015) Sheng-wei Fei et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Forecasting wind speed using empirical mode decomposition and Elman neural network

(2014) Jujie Wang et al.   APPLIED SOFT COMPUTING

Variational Mode Decomposition

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

Forecasting models for wind speed using wavelet, wavelet packet, time series and Artificial Neural Networks

(2013) Hui Liu et al.   APPLIED ENERGY

Improving Forecast Accuracy of Wind Speed Using Wavelet Transform and Neural Networks

(2013) N. Ramesh Babu et al.   Journal of Electrical Engineering & Technology

Short-term wind speed forecasting using wavelet transform and support vector machines optimized by genetic algorithm

(2013) Da Liu et al.   RENEWABLE ENERGY

Wind speed and wind energy forecast through Kalman filtering of Numerical Weather Prediction model output

(2012) Federico Cassola et al.   APPLIED ENERGY

Multi-step forecasting for wind speed using a modified EMD-based artificial neural network model

(2011) Zhenhai Guo et al.   RENEWABLE ENERGY

On comparing three artificial neural networks for wind speed forecasting

(2010) Gong Li et al.   APPLIED ENERGY

Day-ahead wind speed forecasting using f-ARIMA models

(2008) Rajesh G. Kavasseri et al.   RENEWABLE ENERGY