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

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

(2021) Dongzhen Xiong et al.   ENERGY CONVERSION AND MANAGEMENT

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

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 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

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

Improvement of regulation quality for hydro-dominated power system: quantifying oscillation characteristic and multi-objective optimization

(2020) Zhigao Zhao et al.   RENEWABLE ENERGY

A hybrid short-term load forecasting model based on variational mode decomposition and long short-term memory networks considering relevant factors with Bayesian optimization algorithm

(2019) Feifei He 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

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

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

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

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

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

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

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

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

(2018) Shuang Zhu et al.   Hydrology Research

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

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

Wind power prediction using hybrid autoregressive fractionally integrated moving average and least square support vector machine

(2017) Xiaohui Yuan 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

Short-Term Wind Speed Prediction Using EEMD-LSSVM Model

(2017) Aiqing Kang et al.   Advances in Meteorology

Using artificial neural networks for temporal and spatial wind speed forecasting in Iran

(2016) Younes Noorollahi 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 based on the hybrid ensemble empirical mode decomposition and GA-BP neural network method

(2016) Shouxiang Wang et al.   RENEWABLE ENERGY

Recent advances in differential evolution – An updated survey

(2016) Swagatam Das et al.   Swarm and Evolutionary Computation

The study and application of a novel hybrid forecasting model – A case study of wind speed forecasting in China

(2015) Jian-Zhou Wang et al.   APPLIED ENERGY

Multi-period wind integrated optimal dispatch using series PSO-DE with time-varying Gaussian membership function based fuzzy selection

(2015) Manjaree Pandit et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Comparing Predictive Accuracy, Twenty Years Later: A Personal Perspective on the Use and Abuse of Diebold–Mariano Tests

(2015) Francis X. Diebold   JOURNAL OF BUSINESS & ECONOMIC STATISTICS

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

(2015) Osamah Basheer Shukur et al.   RENEWABLE ENERGY

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

Continuous attractors of higher-order recurrent neural networks with infinite neurons

(2013) Jun Li et al.   NEUROCOMPUTING

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

(2013) Da Liu et al.   RENEWABLE ENERGY

Constrained Total Variation Deblurring Models and Fast Algorithms Based on Alternating Direction Method of Multipliers

(2013) Raymond H. Chan et al.   SIAM Journal on Imaging Sciences

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

(2012) Federico Cassola et al.   APPLIED ENERGY

Numerical weather prediction (NWP) and hybrid ARMA/ANN model to predict global radiation

(2012) Cyril Voyant et al.   ENERGY

Regularized extreme learning machine for regression problems

(2011) José M. Martínez-Martínez et al.   NEUROCOMPUTING

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

(2011) Zhenhai Guo et al.   RENEWABLE ENERGY

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

(2010) Ergin Erdem et al.   APPLIED ENERGY

Resistance to race 2 and cross-resistance to race 1 ofKabatiella caulivorainTrifolium subterraneumandT. purpureum

(2009) Hua Li et al.   AUSTRALASIAN PLANT PATHOLOGY

Day-ahead wind speed forecasting using f-ARIMA models

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