Deep learning combined wind speed forecasting with hybrid time series decomposition and multi-objective parameter optimization

Time series forecasting based on echo state network and empirical wavelet transformation

(2021) Ruobin Gao et al.   APPLIED SOFT COMPUTING

Application of hybrid model based on empirical mode decomposition, novel recurrent neural networks and the ARIMA to wind speed prediction

(2021) Ming-De Liu et al.   ENERGY CONVERSION AND MANAGEMENT

Forecasting the U.S. oil markets based on social media information during the COVID-19 pandemic

(2021) Binrong Wu et al.   ENERGY

Short-term offshore wind speed forecast by seasonal ARIMA - A comparison against GRU and LSTM

(2021) Xiaolei Liu et al.   ENERGY

Hybrid forecasting system based on data area division and deep learning neural network for short-term wind speed forecasting

(2021) Zhuoyi Liu et al.   ENERGY CONVERSION AND MANAGEMENT

Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methods

(2021) Nooshin Ayoobi et al.   Results in Physics

Wind turbine power curve modeling using an asymmetric error characteristic-based loss function and a hybrid intelligent optimizer

(2021) Runmin Zou et al.   APPLIED ENERGY

Probabilistic and deterministic wind speed forecasting based on non-parametric approaches and wind characteristics information

(2021) Jiani Heng et al.   APPLIED ENERGY

Ensemble wind speed forecasting with multi-objective Archimedes optimization algorithm and sub-model selection

(2021) Lifang Zhang et al.   APPLIED ENERGY

Multi-step-ahead wind speed forecasting based on a hybrid decomposition method and temporal convolutional networks

(2021) Dan Li et al.   ENERGY

Short-term wind speed forecasting system based on multivariate time series and multi-objective optimization

(2021) Zhihao Shang et al.   ENERGY

Effective energy consumption forecasting using empirical wavelet transform and long short-term memory

(2021) Lu Peng et al.   ENERGY

Ultra-short-term wind speed forecasting based on EMD-VAR model and spatial correlation

(2021) Zheyong Jiang et al.   ENERGY CONVERSION AND MANAGEMENT

An ultra-short-term wind speed forecasting model based on time scale recognition and dynamic adaptive modeling

(2021) Zhao Zhen et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Multi-step ahead short-term wind speed forecasting approach coupling variational mode decomposition, improved beetle antennae search algorithm-based synchronous optimization and Volterra series model

(2021) Wenlong Fu et al.   RENEWABLE ENERGY

Examination of turbulence impacts on ultra-short-term wind power and speed forecasts with machine learning

(2021) Hao Chen et al.   Energy Reports

Efficient bootstrap stacking ensemble learning model applied to wind power generation forecasting

(2021) Matheus Henrique Dal Molin Ribeiro et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

A novel hybrid approach based on variational heteroscedastic Gaussian process regression for multi-step ahead wind speed forecasting

(2021) Chu Zhang et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

A novel deep learning ensemble model with data denoising for short-term wind speed forecasting

(2020) Zhiyun Peng et al.   ENERGY CONVERSION AND MANAGEMENT

Seamless retrievals of chlorophyll-a from Sentinel-2 (MSI) and Sentinel-3 (OLCI) in inland and coastal waters: A machine-learning approach

(2020) Nima Pahlevan et al.   REMOTE SENSING OF ENVIRONMENT

Effects of multi-factors on comprehensive performance of a hydrogen-fueled micro-cylindrical combustor by combining grey relational analysis and analysis of variance

(2020) Wei Zuo et al.   ENERGY

Wind power forecasting using attention-based gated recurrent unit network

(2020) Zhewen Niu et al.   ENERGY

A new combined model based on multi-objective salp swarm optimization for wind speed forecasting

(2020) Zishu Cheng et al.   APPLIED SOFT COMPUTING

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

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

(2020) Tian Peng et al.   RENEWABLE ENERGY

A combined forecasting system based on modified multi-objective optimization and sub-model selection strategy for short-term wind speed

(2020) Qingguo Zhou et al.   APPLIED SOFT COMPUTING

Deterministic and probabilistic multi-step forecasting for short-term wind speed based on secondary decomposition and a deep learning method

(2020) Ling Xiang et al.   ENERGY CONVERSION AND MANAGEMENT

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

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

Multistep forecasting for diurnal wind speed based on hybrid deep learning model with improved singular spectrum decomposition

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

Causal convolutional gated recurrent unit network with multiple decomposition methods for short-term wind speed forecasting

(2020) Guowei Zhang et al.   ENERGY CONVERSION AND MANAGEMENT

An improved residual-based convolutional neural network for very short-term wind power forecasting

(2020) Ceyhun Yildiz et al.   ENERGY CONVERSION AND MANAGEMENT

Backtracking search algorithm with specular reflection learning for global optimization

(2020) Yiying Zhang   KNOWLEDGE-BASED SYSTEMS

Wind power forecasting – A data-driven method along with gated recurrent neural network

(2020) Adam Kisvari et al.   RENEWABLE ENERGY

Hourly forecasting of solar irradiance based on CEEMDAN and multi-strategy CNN-LSTM neural networks

(2020) Bixuan Gao et al.   RENEWABLE ENERGY

A self-adaptive kernel extreme learning machine for short-term wind speed forecasting

(2020) Liye Xiao et al.   APPLIED SOFT COMPUTING

A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer

(2020) Aytaç Altan et al.   APPLIED SOFT COMPUTING

A combined forecasting system based on statistical method, artificial neural networks, and deep learning methods for short-term wind speed forecasting

(2020) Ping Jiang et al.   ENERGY

Short-term wind speed forecasting using recurrent neural networks with error correction

(2020) Jikai Duan et al.   ENERGY

A novel decomposition-ensemble learning framework for multi-step ahead wind energy forecasting

(2020) Ramon Gomes da Silva et al.   ENERGY

Hybrid multi-stage decomposition with parametric model applied to wind speed forecasting in Brazilian Northeast

(2020) Sinvaldo Rodrigues Moreno et al.   RENEWABLE ENERGY

A hybrid neural network model for short-term wind speed forecasting based on decomposition, multi-learner ensemble, and adaptive multiple error corrections

(2020) Hui Liu et al.   RENEWABLE ENERGY

Multi-step wind speed forecast based on sample clustering and an optimized hybrid system

(2020) Xue-Jun Chen et al.   RENEWABLE ENERGY

Well production forecasting based on ARIMA-LSTM model considering manual operations

(2020) Dongyan Fan et al.   ENERGY

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 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

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

Improving forecasting accuracy of time series data using a new ARIMA-ANN hybrid method and empirical mode decomposition

(2019) Ümit Çavuş Büyükşahin et al.   NEUROCOMPUTING

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

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

Combined model with secondary decomposition-model selection and sample selection for multi-step wind power forecasting

(2019) Zhuochun Wu et al.   APPLIED ENERGY

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

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

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

A survey of artificial neural network in wind energy systems

(2018) Alberto Pliego Marugán et al.   APPLIED ENERGY

A note on the validity of cross-validation for evaluating autoregressive time series prediction

(2018) Christoph Bergmeir et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

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

A novel hybrid forecasting system of wind speed based on a newly developed multi-objective sine cosine algorithm

(2018) Jianzhou Wang 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

Correlation-Constrained and Sparsity-Controlled Vector Autoregressive Model for Spatio-Temporal Wind Power Forecasting

(2018) Yongning Zhao et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

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

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

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

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

(2017) Wenyu Zhang 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

Multi-objective backtracking search algorithm for economic emission dispatch problem

(2016) Mostafa Modiri-Delshad et al.   APPLIED SOFT COMPUTING

Selection of time window for wind power ramp prediction based on risk model

(2016) Xiaoming Zha et al.   ENERGY CONVERSION AND MANAGEMENT

Ensemble Classification and Regression-Recent Developments, Applications and Future Directions [Review Article]

(2016) Ye Ren et al.   IEEE Computational Intelligence Magazine

Direct interval forecasting of wind speed using radial basis function neural networks in a multi-objective optimization framework

(2016) Chi Zhang et al.   NEUROCOMPUTING

A multiobjective framework for wind speed prediction interval forecasts

(2016) Nitin Anand Shrivastava et al.   RENEWABLE ENERGY

Forecasting of global horizontal irradiance by exponential smoothing, using decompositions

(2015) Dazhi Yang et al.   ENERGY

Deep learning

(2015) Yann LeCun et al.   NATURE

Variational Mode Decomposition

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

Evolutionary multi-objective generation of recurrent neural network ensembles for time series prediction

(2014) Christopher Smith et al.   NEUROCOMPUTING

Privacy-preserving Kruskal–Wallis test

(2013) Suxin Guo et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

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

(2012) Federico Cassola et al.   APPLIED ENERGY

Pareto-Based Multiobjective Machine Learning: An Overview and Case Studies

(2008) Yaochu Jin et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE