Short-term wind power prediction based on preprocessing and improved secondary decomposition

Comparative study of data-driven short-term wind power forecasting approaches for the Norwegian Arctic region

(2021) Hao Chen et al.   Journal of Renewable and Sustainable Energy

Clustering sparse sensor placement identification and deep learning based forecasting for wind turbine wakes

(2021) Naseem Ali et al.   Journal of Renewable and Sustainable Energy

Data-driven modeling of the wake behind a wind turbine array

(2020) Naseem Ali et al.   Journal of Renewable and Sustainable Energy

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

A short-term hybrid wind power prediction model based on singular spectrum analysis and temporal convolutional networks

(2020) Yang Zhao et al.   Journal of Renewable and Sustainable Energy

Improved EMD-Based Complex Prediction Model for Wind Power Forecasting

(2020) Oveis Abedinia et al.   IEEE Transactions on Sustainable Energy

Short-term wind power forecasting using the hybrid model of improved variational mode decomposition and Correntropy Long Short -term memory neural network

(2020) Jiandong Duan et al.   ENERGY

A new bearing weak fault diagnosis method based on improved singular spectrum decomposition and frequency-weighted energy slice bispectrum

(2020) Yongjie Mao et al.   MEASUREMENT

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

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

(2019) Aasim et al.   RENEWABLE ENERGY

A novel hybrid model for short-term wind power forecasting

(2019) Pei Du et al.   APPLIED SOFT COMPUTING

Data-driven wind speed forecasting using deep feature extraction and LSTM

(2019) Yu-Xi Wu et al.   IET Renewable Power Generation

A Two-Layer Nonlinear Combination Method for Short-Term Wind Speed Prediction Based on ELM, ENN, and LSTM

(2019) Min-Rong Chen et al.   IEEE Internet of Things Journal

Wind power forecasting based on singular spectrum analysis and a new hybrid Laguerre neural network

(2019) Cong Wang et al.   APPLIED ENERGY

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

A new prediction method based on VMD-PRBF-ARMA-E model considering wind speed characteristic

(2019) Yagang Zhang 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

Novel Multi-Step Short-Term Wind Power Prediction Framework Based on Chaotic Time Series Analysis and Singular Spectrum Analysis

(2018) Nima Safari et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

DNN-based approach for fault detection in a direct drive wind turbine

(2018) Wei Teng et al.   IET Renewable Power Generation

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

Wind Power Curve Modeling and Wind Power Forecasting with Inconsistent Data

(2018) Yun Wang et al.   IEEE Transactions on Sustainable 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 Nonparametric Bayesian Framework for Short-Term Wind Power Probabilistic Forecast

(2018) Wei Xie et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Adaptive Confidence Boundary Modeling of Wind Turbine Power Curve using SCADA Data and Its Application

(2018)   IEEE Transactions on Sustainable Energy

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

Short-term wind speed and wind power prediction using hybrid empirical mode decomposition and kernel ridge regression

(2017) Jyotirmayee Naik et al.   APPLIED SOFT COMPUTING

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

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

Raw Wind Data Preprocessing: A Data-Mining Approach

(2015) Le Zheng et al.   IEEE Transactions on Sustainable Energy

A Comparative Study of Empirical Mode Decomposition-Based Short-Term Wind Speed Forecasting Methods

(2015) Ye Ren et al.   IEEE Transactions on Sustainable Energy

Variational Mode Decomposition

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

Multifractal description of wind power fluctuations using arbitrary order Hilbert spectral analysis

(2013) Rudy Calif et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Short-Term Wind-Power Prediction Based on Wavelet Transform–Support Vector Machine and Statistic-Characteristics Analysis

(2012) Yongqian Liu et al.   IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS