Deterministic and Probabilistic Wind Power Forecasting Based on Bi-Level Convolutional Neural Network and Particle Swarm Optimization

Wind Power Short-Term Prediction Based on LSTM and Discrete Wavelet Transform

(2019) Yao Liu et al.   Applied Sciences-Basel

Ensemble empirical mode decomposition based adaptive wavelet neural network method for wind speed prediction

(2018) Madasthu Santhosh et al.   ENERGY CONVERSION AND MANAGEMENT

Probability density forecasting of wind power using quantile regression neural network and kernel density estimation

(2018) Yaoyao He et al.   ENERGY CONVERSION AND MANAGEMENT

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

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

Short-term wind power prediction based on data mining technology and improved support vector machine method: A case study in Northwest China

(2018) Cunbin Li et al.   JOURNAL OF CLEANER PRODUCTION

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

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

Different Models for Forecasting Wind Power Generation: Case Study

(2017) David Barbosa de Alencar et al.   Energies

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

(2017) Daniel Ambach et al.   ENERGY

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

Deep belief network based deterministic and probabilistic wind speed forecasting approach

(2016) H.Z. Wang 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

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

Wind speed forecasting based on wavelet packet decomposition and artificial neural networks trained by crisscross optimization algorithm

(2016) Anbo Meng 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

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

(2016) Qinghua Hu et al.   RENEWABLE ENERGY

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

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

Wind power forecasting based on principle component phase space reconstruction

(2015) Li Han et al.   RENEWABLE ENERGY

Current status and future advances for wind speed and power forecasting

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

A new wind turbine fault diagnosis method based on the local mean decomposition

(2012) W.Y. Liu et al.   RENEWABLE ENERGY