2-D regional short-term wind speed forecast based on CNN-LSTM deep learning model

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

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

New perspectives on maximum wind energy extraction of variable-speed wind turbines using previewed wind speeds

(2020) Dongran Song et al.   ENERGY CONVERSION AND MANAGEMENT

A novel deep learning intelligent clustered hybrid models for wind speed and power forecasting

(2020) Hamed H.H. Aly   ENERGY

Short-term wind speed predicting framework based on EEMD-GA-LSTM method under large scaled wind history

(2020) Yaoran Chen et al.   ENERGY CONVERSION AND MANAGEMENT

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

A self-organizing forecast of day-ahead wind speed: Selective ensemble strategy based on numerical weather predictions

(2020) Jing Zhao et al.   ENERGY

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

(2020) Huanling Hu et al.   RENEWABLE ENERGY

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

A novel hybrid approach based on relief algorithm and fuzzy reinforcement learning approach for predicting wind speed

(2020) Hasmat Malik et al.   Sustainable Energy Technologies and Assessments

Wind speed prediction method using Shared Weight Long Short-Term Memory Network and Gaussian Process Regression

(2019) Zhendong Zhang et al.   APPLIED ENERGY

Hybrid wind speed prediction model based on recurrent long short-term memory neural network and support vector machine models

(2019) T. Vinothkumar et al.   SOFT COMPUTING

Gaussian Process Regression for numerical wind speed prediction enhancement

(2019) Haoshu Cai et al.   RENEWABLE ENERGY

Time-series prediction of wind speed using machine learning algorithms: A case study Osorio wind farm, Brazil

(2018) A. Khosravi et al.   APPLIED 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

Interval Deep Generative Neural Network for Wind Speed Forecasting

(2018) Mahdi Khodayar et al.   IEEE Transactions on Smart Grid

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

A new maximum relevance-minimum multicollinearity (MRmMC) method for feature selection and ranking

(2017) Azlyna Senawi et al.   PATTERN RECOGNITION

The Wind Integration National Dataset (WIND) Toolkit

(2015) Caroline Draxl et al.   APPLIED ENERGY

Impact of Wind Forecast Error Statistics Upon Unit Commitment

(2012) Colm Lowery et al.   IEEE Transactions on Sustainable Energy

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

(2010) Ergin Erdem et al.   APPLIED ENERGY