Ultra-short term wind power prediction applying a novel model named SATCN-LSTM

A novel genetic LSTM model for wind power forecast

(2021) Farah Shahid et al.   ENERGY

A robust deep learning framework for short-term wind power forecast of a full-scale wind farm using atmospheric variables

(2021) Rajitha Meka et al.   ENERGY

A deep attention residual neural network-based remaining useful life prediction of machinery

(2021) Fuchuan Zeng et al.   MEASUREMENT

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

(2021) Dan Li et al.   ENERGY

Data-augmented sequential deep learning for wind power forecasting

(2021) Hao Chen et al.   ENERGY CONVERSION AND MANAGEMENT

Short-term self consumption PV plant power production forecasts based on hybrid CNN-LSTM, ConvLSTM models

(2021) Ali Agga et al.   RENEWABLE ENERGY

Prediction of Chinese energy structure based on Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM)

(2020) Yan Li et al.   Energy Science & Engineering

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

Leukocyte subtypes identification using bilinear self-attention convolutional neural network

(2020) Dongxu Yang et al.   MEASUREMENT

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

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

Short-term prediction for wind power based on temporal convolutional network

(2020) Ruijin Zhu et al.   Energy Reports

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

A hybrid deep learning-based neural network for 24-h ahead wind power forecasting

(2019) Ying-Yi Hong et al.   APPLIED ENERGY

One dimensional convolutional neural network architectures for wind prediction

(2019) Shubhi Harbola et al.   ENERGY CONVERSION AND MANAGEMENT

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

(2019) Yagang Zhang et al.   ENERGY CONVERSION AND MANAGEMENT

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

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

A hybrid wind power forecasting model based on data mining and wavelets analysis

(2016) R. Azimi et al.   ENERGY CONVERSION AND MANAGEMENT

The Wind Integration National Dataset (WIND) Toolkit

(2015) Caroline Draxl et al.   APPLIED ENERGY