Current status of hybrid structures in wind forecasting

A new short-term wind speed forecasting method based on fine-tuned LSTM neural network and optimal input sets

(2020) Gholamreza Memarzadeh et al.   ENERGY CONVERSION AND MANAGEMENT

Repeated wavelet transform based ARIMA model for very short-term wind speed forecasting

(2019) Aasim et al.   RENEWABLE ENERGY

A multi-objective wind speed and wind power prediction interval forecasting using variational modes decomposition based Multi-Kernel Robust Ridge regression

(2019) Jyotirmayee Naik et al.   RENEWABLE ENERGY

A novel two-stage forecasting model based on error factor and ensemble method for multi-step wind power forecasting

(2019) Yan Hao et al.   APPLIED ENERGY

Sequence transfer correction algorithm for numerical weather prediction wind speed and its application in a wind power forecasting system

(2019) Han Wang et al.   APPLIED ENERGY

Short-term forecasting and uncertainty analysis of wind turbine power based on long short-term memory network and Gaussian mixture model

(2019) Jinhua Zhang et al.   APPLIED ENERGY

Scenario generation and probabilistic forecasting analysis of spatio-temporal wind speed series with multivariate autoregressive volatility models

(2019) Carlo Lucheroni et al.   APPLIED 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

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

(2019) Chen Li et al.   ENERGY

Modeling for chaotic time series based on linear and nonlinear framework: Application to wind speed forecasting

(2019) Ping Jiang et al.   ENERGY

Multifactor spatio-temporal correlation model based on a combination of convolutional neural network and long short-term memory neural network for wind speed forecasting

(2019) Yong Chen et al.   ENERGY CONVERSION AND MANAGEMENT

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 non-linear combination system for short-term wind speed forecast

(2019) Jianzhou Wang et al.   RENEWABLE ENERGY

A novel hybrid model for short-term wind power forecasting

(2019) Pei Du et al.   APPLIED SOFT COMPUTING

Hybrid wind energy forecasting and analysis system based on divide and conquer scheme: A case study in China

(2019) Wendong Yang et al.   JOURNAL OF CLEANER PRODUCTION

A gated recurrent unit neural networks based wind speed error correction model for short-term wind power forecasting

(2019) Min Ding et al.   NEUROCOMPUTING

Hybrid machine intelligent SVR variants for wind forecasting and ramp events

(2019) Harsh S. Dhiman et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A hybrid deep learning-based neural network for 24-h ahead wind power forecasting

(2019) Ying-Yi Hong et al.   APPLIED ENERGY

Variable weights combined model based on multi-objective optimization for short-term wind speed forecasting

(2019) Ping Jiang et al.   APPLIED SOFT COMPUTING

Improving WRF model turbine-height wind-speed forecasting using a surrogate- based automatic optimization method

(2019) Zhenhua Di et al.   ATMOSPHERIC RESEARCH

Optimized nonlinear neural network architectural models for multistep wind speed forecasting

(2019) K. Maruliya Begam et al.   COMPUTERS & ELECTRICAL ENGINEERING

Evaluation of neural network-based methodologies for wind speed forecasting

(2019) Haidar Samet et al.   COMPUTERS & ELECTRICAL ENGINEERING

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 prediction method based on Empirical Wavelet Transform and New Cell Update Long Short-Term Memory network

(2019) Shaoqian Pei et al.   ENERGY CONVERSION AND MANAGEMENT

A novel hybrid model based on VMD-WT and PCA-BP-RBF neural network for short-term wind speed forecasting

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

Wind speed forecasting based on Quantile Regression Minimal Gated Memory Network and Kernel Density Estimation

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

High resolution wind speed forecasting based on wavelet decomposed phase space reconstruction and self-organizing map

(2019) Rui Hu et al.   RENEWABLE ENERGY

A novel composite neural network based method for wind and solar power forecasting in microgrids

(2019) Azim Heydari et al.   APPLIED ENERGY

Multi-objective data-ensemble wind speed forecasting model with stacked sparse autoencoder and adaptive decomposition-based error correction

(2019) Hui Liu 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

Wind power forecasting based on daily wind speed data using machine learning algorithms

(2019) Halil Demolli et al.   ENERGY CONVERSION AND MANAGEMENT

An evolution-dependent multi-objective ensemble model of vanishing moment with adversarial auto-encoder for short-term wind speed forecasting in Xinjiang wind farm, China

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

Hybrid structures in time series modeling and forecasting: A review

(2019) Zahra Hajirahimi et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

A new multistage short-term wind power forecast model using decomposition and artificial intelligence methods

(2019) Hasan Hüseyin Çevik et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Multi-step wind speed forecasting based on numerical simulations and an optimized stochastic ensemble method

(2019) Jing Zhao et al.   APPLIED ENERGY

A novel wind speed forecasting model based on moving window and multi-objective particle swarm optimization algorithm

(2019) Zhaoshuang He et al.   APPLIED MATHEMATICAL MODELLING

A secondary decomposition based hybrid structure with meteorological analysis for deterministic and probabilistic wind speed forecasting

(2019) Zhuochun Wu et al.   APPLIED SOFT COMPUTING

Representation learning with extreme learning machines and empirical mode decomposition for wind speed forecasting methods

(2019) Hao-Fan Yang et al.   ARTIFICIAL INTELLIGENCE

A cascaded deep learning wind power prediction approach based on a two-layer of mode decomposition

(2019) Hao Yin et al.   ENERGY

Wind power forecast based on improved Long Short Term Memory network

(2019) Li Han et al.   ENERGY

Echo state network based ensemble approach for wind power forecasting

(2019) Huaizhi Wang et al.   ENERGY CONVERSION AND MANAGEMENT

Particle-swarm optimization of ensemble neural networks with negative correlation learning for forecasting short-term wind speed of wind farms in western China

(2019) Tao Ma et al.   INFORMATION SCIENCES

Wind speed forecasting models based on data decomposition, feature selection and group method of data handling network

(2019) Hui Liu et al.   MEASUREMENT

Smart wind speed deep learning based multi-step forecasting model using singular spectrum analysis, convolutional Gated Recurrent Unit network and Support Vector Regression

(2019) Hui Liu et al.   RENEWABLE ENERGY

A new wind power prediction method based on ridgelet transforms, hybrid feature selection and closed-loop forecasting

(2018) Hua Leng et al.   ADVANCED ENGINEERING INFORMATICS

An intelligent framework for short-term multi-step wind speed forecasting based on Functional Networks

(2018) Adil Ahmed et al.   APPLIED ENERGY

A hybrid system for short-term wind speed forecasting

(2018) Qingqing He et al.   APPLIED ENERGY

A survey of artificial neural network in wind energy systems

(2018) Alberto Pliego Marugán et al.   APPLIED ENERGY

A hybrid model based on synchronous optimisation for multi-step short-term wind speed forecasting

(2018) Chaoshun Li et al.   APPLIED ENERGY

A novel combined model based on advanced optimization algorithm for short-term wind speed forecasting

(2018) Jingjing Song et al.   APPLIED ENERGY

A hybrid forecasting approach applied in wind speed forecasting based on a data processing strategy and an optimized artificial intelligence algorithm

(2018) Zhongshan Yang et al.   ENERGY

Short-term probabilistic forecasting of wind energy resources using the enhanced ensemble method

(2018) Deockho Kim et al.   ENERGY

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

Correlation aware multi-step ahead wind speed forecasting with heteroscedastic multi-kernel learning

(2018) Yun Wang et al.   ENERGY CONVERSION AND MANAGEMENT

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

(2018) Yanfei Li et al.   ENERGY CONVERSION AND MANAGEMENT

Short-term wind speed forecasting based on fast ensemble empirical mode decomposition, phase space reconstruction, sample entropy and improved back-propagation neural network

(2018) Wei Sun et al.   ENERGY CONVERSION AND MANAGEMENT

Short-term wind speed prediction using an extreme learning machine model with error correction

(2018) Lili Wang et al.   ENERGY CONVERSION AND MANAGEMENT

An improved combination approach based on Adaboost algorithm for wind speed time series forecasting

(2018) Ling Xiao 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

Smart wind speed forecasting using EWT decomposition, GWO evolutionary optimization, RELM learning and IEWT reconstruction

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

Wind speed forecasting method based on deep learning strategy using empirical wavelet transform, long short term memory neural network and Elman neural network

(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

Forecasting and verification of winds in an East African complex terrain using coupled mesoscale - And micro-scale models

(2018) Muhammad Omer Mughal et al.   JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS

Data mining-assisted short-term wind speed forecasting by wavelet packet decomposition and Elman neural network

(2018) Chuanjin Yu et al.   JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS

A novel wind speed prediction method: Hybrid of correlation-aided DWT, LSSVM and GARCH

(2018) Yan Jiang et al.   JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS

Research and application of an innovative combined model based on a modified optimization algorithm for wind speed forecasting

(2018) Ping Jiang et al.   MEASUREMENT

Prediction interval forecasting of wind speed and wind power using modes decomposition based low rank multi-kernel ridge regression

(2018) Jyotirmayee Naik et al.   RENEWABLE ENERGY

A new method based on Type-2 fuzzy neural network for accurate wind power forecasting under uncertain data

(2018) Amir Sharifian et al.   RENEWABLE ENERGY

Wind speed forecasting approach based on Singular Spectrum Analysis and Adaptive Neuro Fuzzy Inference System

(2018) Sinvaldo Rodrigues Moreno et al.   RENEWABLE ENERGY

Research and application of a combined model based on variable weight for short term wind speed forecasting

(2018) Hongmin Li et al.   RENEWABLE ENERGY

Multi-step-ahead wind speed forecasting based on optimal feature selection and a modified bat algorithm with the cognition strategy

(2018) Tong Niu et al.   RENEWABLE ENERGY

Short-term wind power forecasts by a synthetical similar time series data mining method

(2018) Gaiping Sun et al.   RENEWABLE ENERGY

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

An experimental investigation of three new hybrid wind speed forecasting models using multi-decomposing strategy and ELM algorithm

(2018) Hui Liu et al.   RENEWABLE ENERGY

Short term wind power forecasting using hybrid variational mode decomposition and multi-kernel regularized pseudo inverse neural network

(2018) Jyotirmayee Naik et al.   RENEWABLE ENERGY

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

(2018) Jujie Wang et al.   APPLIED ENERGY

A combination forecasting approach applied in multistep wind speed forecasting based on a data processing strategy and an optimized artificial intelligence algorithm

(2018) Zhongshan Yang et al.   APPLIED ENERGY

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

An adaptive dynamic short-term wind speed forecasting model using secondary decomposition and an improved regularized extreme learning machine

(2018) Na Sun et al.   ENERGY

A nonlinear hybrid wind speed forecasting model using LSTM network, hysteretic ELM and Differential Evolution algorithm

(2018) Ya-Lan Hu et al.   ENERGY CONVERSION AND MANAGEMENT

Application of support vector machine models for forecasting solar and wind energy resources: A review

(2018) Alireza Zendehboudi et al.   JOURNAL OF CLEANER PRODUCTION

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

A novel framework for wind speed prediction based on recurrent neural networks and support vector machine

(2018) Chuanjin Yu 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

Ultra-short-term forecast of wind speed and wind power based on morphological high frequency filter and double similarity search algorithm

(2018) D.Y. Hong et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Research on a combined model based on linear and nonlinear features - A case study of wind speed forecasting

(2018) Kequan Zhang et al.   RENEWABLE ENERGY

Wind speed and wind direction forecasting using echo state network with nonlinear functions

(2018) Mohammad Amin Chitsazan et al.   RENEWABLE ENERGY

Robust functional regression for wind speed forecasting based on Sparse Bayesian learning

(2018) Yun Wang et al.   RENEWABLE ENERGY

A novel system based on neural networks with linear combination framework for wind speed forecasting

(2018) Jianzhou Wang et al.   ENERGY CONVERSION AND MANAGEMENT

Multi-objective algorithm for the design of prediction intervals for wind power forecasting model

(2018) Ping Jiang et al.   APPLIED MATHEMATICAL MODELLING

A hybrid forecasting system based on fuzzy time series and multi-objective optimization for wind speed forecasting

(2018) Ping Jiang et al.   APPLIED ENERGY

Hybrid forecasting model based on long short term memory network and deep learning neural network for wind signal

(2018) Yong Qin et al.   APPLIED ENERGY

LSTM-EFG for wind power forecasting based on sequential correlation features

(2018) Ruiguo Yu et al.   Future Generation Computer Systems-The International Journal of eScience

Wind power forecasting for a real onshore wind farm on complex terrain using WRF high resolution simulations

(2018) Miguel A. Prósper et al.   RENEWABLE ENERGY

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

Smart wind speed forecasting approach using various boosting algorithms, big multi-step forecasting strategy

(2018) Yanfei Li et al.   RENEWABLE ENERGY

A new high-dimensional time series approach for wind speed, wind direction and air pressure forecasting

(2017) Daniel Ambach et al.   ENERGY

Short-term wind speed forecasting using a hybrid model

(2017) Ping Jiang et al.   ENERGY

Research and application of a combined model based on multi-objective optimization for multi-step ahead wind speed forecasting

(2017) Jianzhou Wang 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

Composite quantile regression extreme learning machine with feature selection for short-term wind speed forecasting: A new approach

(2017) Weiqin Zheng et al.   ENERGY CONVERSION AND MANAGEMENT

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

(2017) Yan Jiang et al.   ENERGY CONVERSION AND MANAGEMENT

Non-parametric hybrid models for wind speed forecasting

(2017) Qinkai Han et al.   ENERGY CONVERSION AND MANAGEMENT

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

Intelligent and robust prediction of short term wind power using genetic programming based ensemble of neural networks

(2017) Aneela Zameer et al.   ENERGY CONVERSION AND MANAGEMENT

An effective secondary decomposition approach for wind power forecasting using extreme learning machine trained by crisscross optimization

(2017) Hao Yin et al.   ENERGY CONVERSION AND MANAGEMENT

Multi-step ahead wind speed forecasting using a hybrid model based on two-stage decomposition technique and AdaBoost-extreme learning machine

(2017) Tian Peng et al.   ENERGY CONVERSION AND MANAGEMENT

Multi-step wind speed forecasting based on a hybrid forecasting architecture and an improved bat algorithm

(2017) Liye Xiao 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

An improved Wavelet Transform using Singular Spectrum Analysis for wind speed forecasting based on Elman Neural Network

(2017) Chuanjin Yu 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

Wind speed forecasting method using wavelet, extreme learning machine and outlier correction algorithm

(2017) Xi-wei Mi et al.   ENERGY CONVERSION AND MANAGEMENT

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

(2017) Zongxi Qu et al.   ENERGY CONVERSION AND MANAGEMENT

A hybrid ETS–ANN model for time series forecasting

(2017) Sibarama Panigrahi et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Deep belief network based deterministic and probabilistic wind speed forecasting approach

(2016) H.Z. Wang et al.   APPLIED ENERGY

Forecasting wind power – Modeling periodic and non-linear effects under conditional heteroscedasticity

(2016) Florian Ziel et al.   APPLIED ENERGY

An improved multi-step forecasting model based on WRF ensembles and creative fuzzy systems for wind speed

(2016) Jing Zhao et al.   APPLIED ENERGY

One day ahead wind speed forecasting: A resampling-based approach

(2016) Weigang Zhao et al.   APPLIED ENERGY

A novel bidirectional mechanism based on time series model for wind power forecasting

(2016) Yongning Zhao et al.   APPLIED ENERGY

A new wind power prediction method based on chaotic theory and Bernstein Neural Network

(2016) Cong Wang et al.   ENERGY

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

(2016) Zhengtang Liang et al.   ENERGY CONVERSION AND MANAGEMENT

A Gaussian process regression based hybrid approach for short-term wind speed prediction

(2016) Chi Zhang et al.   ENERGY CONVERSION AND MANAGEMENT

Using data-driven approach for wind power prediction: A comparative study

(2016) Ehsan Taslimi Renani et al.   ENERGY CONVERSION AND MANAGEMENT

Deterministic and probabilistic interval prediction for short-term wind power generation based on variational mode decomposition and machine learning methods

(2016) Yachao Zhang et al.   ENERGY CONVERSION AND MANAGEMENT

A novel hybrid approach for predicting wind farm power production based on wavelet transform, hybrid neural networks and imperialist competitive algorithm

(2016) Afshin Aghajani et al.   ENERGY CONVERSION AND MANAGEMENT

A hybrid wind power forecasting model based on data mining and wavelets analysis

(2016) R. Azimi et al.   ENERGY CONVERSION AND MANAGEMENT

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

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

Wind speed forecasting using FEEMD echo state networks with RELM in Hebei, China

(2016) Wei Sun et al.   ENERGY CONVERSION AND MANAGEMENT

Current status of wind energy forecasting and a hybrid method for hourly predictions

(2016) Inci Okumus et al.   ENERGY CONVERSION AND MANAGEMENT

Short-term wind power forecasting using model structure selection and data fusion techniques

(2016) Haijian Shao et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

A new intelligent method based on combination of VMD and ELM for short term wind power forecasting

(2016) Ali Akbar Abdoos   NEUROCOMPUTING

Time series wind power forecasting based on variant Gaussian Process and TLBO

(2016) Juan Yan et al.   NEUROCOMPUTING

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

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

Short-term wind speed forecasting using empirical mode decomposition and feature selection

(2016) Chi Zhang et al.   RENEWABLE ENERGY

Short-term wind speed and power forecasting using an ensemble of mixture density neural networks

(2016) Zhongxian Men et al.   RENEWABLE ENERGY

Transfer learning for short-term wind speed prediction with deep neural networks

(2016) Qinghua Hu et al.   RENEWABLE ENERGY

Wind speed forecasting for wind farms: A method based on support vector regression

(2016) G. Santamaría-Bonfil 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

Wind speed forecasting approach using secondary decomposition algorithm and Elman neural networks

(2015) Hui Liu et al.   APPLIED ENERGY

Recursive wind speed forecasting based on Hammerstein Auto-Regressive model

(2015) Othman Ait Maatallah et al.   APPLIED ENERGY

Markov chain modeling for very-short-term wind power forecasting

(2015) A. Carpinone et al.   ELECTRIC POWER SYSTEMS RESEARCH

Short-term wind speed prediction using empirical wavelet transform and Gaussian process regression

(2015) Jianming Hu et al.   ENERGY

A hybrid wind speed forecasting model based on phase space reconstruction theory and Markov model: A case study of wind farms in northwest China

(2015) Yun Wang et al.   ENERGY

A hybrid technique for short-term wind speed prediction

(2015) Jianming Hu et al.   ENERGY

Four wind speed multi-step forecasting models using extreme learning machines and signal decomposing algorithms

(2015) Hui Liu et al.   ENERGY CONVERSION AND MANAGEMENT

Comparison of four Adaboost algorithm based artificial neural networks in wind speed predictions

(2015) Hui Liu et al.   ENERGY CONVERSION AND MANAGEMENT

Probabilistic wind power forecasting based on logarithmic transformation and boundary kernel

(2015) Yao Zhang et al.   ENERGY CONVERSION AND MANAGEMENT

Short-term wind power prediction based on LSSVM–GSA model

(2015) Xiaohui Yuan et al.   ENERGY CONVERSION AND MANAGEMENT

A selection of time series models for short- to medium-term wind power forecasting

(2015) Carsten Croonenbroeck et al.   JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS

Wind speed prediction using reduced support vector machines with feature selection

(2015) Xiaobing Kong et al.   NEUROCOMPUTING

Wind direction forecasting with artificial neural networks and support vector machines

(2015) F. Tagliaferri et al.   OCEAN ENGINEERING

A review on the recent history of wind power ramp forecasting

(2015) Cristobal Gallego-Castillo et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Reviews on uncertainty analysis of wind power forecasting

(2015) Jie Yan et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

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

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

Variability assessment and forecasting of renewables: A review for solar, wind, wave and tidal resources

(2015) Joakim Widén et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Ensemble methods for wind and solar power forecasting—A state-of-the-art review

(2015) Ye Ren et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

New wind speed forecasting approaches using fast ensemble empirical model decomposition, genetic algorithm, Mind Evolutionary Algorithm and Artificial Neural Networks

(2015) Hui Liu et al.   RENEWABLE ENERGY

Wind speed forecast correction models using polynomial neural networks

(2015) Ladislav Zjavka   RENEWABLE ENERGY

Wind power forecasting based on principle component phase space reconstruction

(2015) Li Han et al.   RENEWABLE ENERGY

Daily wind speed forecasting through hybrid KF-ANN model based on ARIMA

(2015) Osamah Basheer Shukur et al.   RENEWABLE ENERGY

A novel application of an analog ensemble for short-term wind power forecasting

(2015) S. Alessandrini et al.   RENEWABLE ENERGY

Medium-term wind speeds forecasting utilizing hybrid models for three different sites in Xinjiang, China

(2015) Jianzhou Wang et al.   RENEWABLE ENERGY

Short-term wind power forecasting using adaptive neuro-fuzzy inference system combined with evolutionary particle swarm optimization, wavelet transform and mutual information

(2015) G.J. Osório et al.   RENEWABLE ENERGY

Short-term wind speed forecasting based on spectral clustering and optimised echo state networks

(2015) Da Liu et al.   RENEWABLE ENERGY

Short-term wind speed forecasting with Markov-switching model

(2014) Zhe Song et al.   APPLIED ENERGY

A hybrid forecasting model based on outlier detection and fuzzy time series – A case study on Hainan wind farm of China

(2014) Jianzhou Wang et al.   ENERGY

Improved wind forecasts for wind power generation using the Eta model and MOS (Model Output Statistics) method

(2014) Lazar Lazić et al.   ENERGY

A new hybrid model optimized by an intelligent optimization algorithm for wind speed forecasting

(2014) Zhongyue Su et al.   ENERGY CONVERSION AND MANAGEMENT

Investigation of model parameters for high-resolution wind energy forecasting: Case studies over simple and complex terrain

(2014) Nikola Marjanovic et al.   JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS

Review on probabilistic forecasting of wind power generation

(2014) Yao Zhang et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Current status and future advances for wind speed and power forecasting

(2014) Jaesung Jung et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A review of combined approaches for prediction of short-term wind speed and power

(2014) A. Tascikaraoglu et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A comparison between the ECMWF and COSMO Ensemble Prediction Systems applied to short-term wind power forecasting on real data

(2013) S. Alessandrini et al.   APPLIED ENERGY

Sparse online warped Gaussian process for wind power probabilistic forecasting

(2013) Peng Kou et al.   APPLIED ENERGY

Short-term wind speed prediction using an unscented Kalman filter based state-space support vector regression approach

(2013) Kuilin Chen et al.   APPLIED ENERGY

Short-term wind speed forecasting based on a hybrid model

(2013) Wenyu Zhang et al.   APPLIED SOFT COMPUTING

A new low-correlation MCP (measure-correlate-predict) method for wind energy forecasting

(2013) Ali Dinler   ENERGY

A Gaussian mixture copula model based localized Gaussian process regression approach for long-term wind speed prediction

(2013) Jie Yu et al.   ENERGY

Hybrid technique of ant colony and particle swarm optimization for short term wind energy forecasting

(2013) Rasoul Rahmani et al.   JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS

A comparative study of optimal hybrid methods for wind power prediction in wind farm of Alberta, Canada

(2013) Nooshin Bigdeli et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

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

Performance analysis of four modified approaches for wind speed forecasting

(2012) Wenyu Zhang et al.   APPLIED ENERGY

Comparison of two new ARIMA-ANN and ARIMA-Kalman hybrid methods for wind speed prediction

(2012) Hui Liu et al.   APPLIED ENERGY

Hybridization of the probabilistic neural networks with feed-forward neural networks for forecasting

(2012) Mehdi Khashei et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Forecasting wind speed with recurrent neural networks

(2012) Qing Cao et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Applications of Bayesian methods in wind energy conversion systems

(2012) Gong Li et al.   RENEWABLE ENERGY

Predicting the energy output of wind farms based on weather data: Important variables and their correlation

(2012) Ekaterina Vladislavleva et al.   RENEWABLE ENERGY

Very short-term wind speed forecasting with Bayesian structural break model

(2012) Yu Jiang et al.   RENEWABLE ENERGY

Short-term prediction of wind power using EMD and chaotic theory

(2011) Xueli An et al.   Communications in Nonlinear Science and Numerical Simulation

Short-term wind power forecasting using ridgelet neural network

(2011) Nima Amjady et al.   ELECTRIC POWER SYSTEMS RESEARCH

Adaptive local learning techniques for multiple-step-ahead wind speed forecasting

(2011) Alfredo Vaccaro et al.   ELECTRIC POWER SYSTEMS RESEARCH

A corrected hybrid approach for wind speed prediction in Hexi Corridor of China

(2011) Zhenhai Guo et al.   ENERGY

A case study on a hybrid wind speed forecasting method using BP neural network

(2011) Zhen-hai Guo et al.   KNOWLEDGE-BASED SYSTEMS

Performance evaluation and accuracy enhancement of a day-ahead wind power forecasting system in China

(2011) Pan Zhao et al.   RENEWABLE ENERGY

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

(2011) Zhenhai Guo et al.   RENEWABLE ENERGY

Time-adaptive quantile-copula for wind power probabilistic forecasting

(2011) Ricardo J. Bessa et al.   RENEWABLE ENERGY

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

(2010) Ergin Erdem et al.   APPLIED ENERGY

Error analysis of short term wind power prediction models

(2010) Maria Grazia De Giorgi et al.   APPLIED ENERGY

An adaptive framework based on multi-model data fusion for one-day-ahead wind power forecasting

(2010) A. Vaccaro et al.   ELECTRIC POWER SYSTEMS RESEARCH

Hour-ahead wind power and speed forecasting using simultaneous perturbation stochastic approximation (SPSA) algorithm and neural network with fuzzy inputs

(2010) Ying-Yi Hong et al.   ENERGY

Stochastic models for wind speed forecasting

(2010) S. Bivona et al.   ENERGY CONVERSION AND MANAGEMENT

A review on time series data mining

(2010) Tak-chung Fu   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Very short-term wind power forecasting with neural networks and adaptive Bayesian learning

(2010) Ruddy Blonbou   RENEWABLE ENERGY

Short-term wind power forecasting in Portugal by neural networks and wavelet transform

(2010) J.P.S. Catalão et al.   RENEWABLE ENERGY

Bayesian adaptive combination of short-term wind speed forecasts from neural network models

(2010) Gong Li et al.   RENEWABLE ENERGY

Overview of wind power intermittency impacts on power systems

(2009) M.H. Albadi et al.   ELECTRIC POWER SYSTEMS RESEARCH

Comparison of two new short-term wind-power forecasting systems

(2008) Ignacio J. Ramirez-Rosado et al.   RENEWABLE ENERGY

Day-ahead wind speed forecasting using f-ARIMA models

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

A review on the young history of the wind power short-term prediction

(2007) Alexandre Costa et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS