Ultra‐short‐term multi‐step wind power forecasting based on CNN‐LSTM

Wind power forecasting of an offshore wind turbine based on high-frequency SCADA data and deep learning neural network

(2020) Zi Lin et al.   ENERGY

Improved EMD-Based Complex Prediction Model for Wind Power Forecasting

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

Pure electric vehicle nonstationary interior sound quality prediction based on deep CNNs with an adaptable learning rate tree

(2020) Haibo Huang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

Photovoltaic power forecasting based LSTM-Convolutional Network

(2019) Kejun Wang et al.   ENERGY

Smart deep learning based wind speed prediction model using wavelet packet decomposition, convolutional neural network and convolutional long short term memory network

(2018) Hui Liu et al.   ENERGY CONVERSION AND MANAGEMENT

Wind speed forecasting method based on deep learning strategy using empirical wavelet transform, long short term memory neural network and Elman neural network

(2018) Hui Liu et al.   ENERGY CONVERSION AND MANAGEMENT

A review of Convolutional-Neural-Network-based action recognition

(2018) Guangle Yao et al.   PATTERN RECOGNITION LETTERS

Direct Interval Forecast of Uncertain Wind Power Based on Recurrent Neural Networks

(2018) Zhichao Shi et al.   IEEE Transactions on Sustainable Energy

Wind speed prediction model using singular spectrum analysis, empirical mode decomposition and convolutional support vector machine

(2018) Xiwei Mi et al.   ENERGY CONVERSION AND MANAGEMENT

Hybrid forecasting model based on long short term memory network and deep learning neural network for wind signal

(2018) Yong Qin et al.   APPLIED ENERGY

LSTM network: a deep learning approach for short-term traffic forecast

(2017) Zheng Zhao et al.   IET Intelligent Transport Systems

Short Term Wind Power Prediction Based on Improved Kriging Interpolation, Empirical Mode Decomposition, and Closed-Loop Forecasting Engine

(2017) Nima Amjady et al.   Sustainability

Deep belief network based deterministic and probabilistic wind speed forecasting approach

(2016) H.Z. Wang et al.   APPLIED ENERGY

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

(2016) Younes Noorollahi 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

Wind speed forecasting for wind farms: A method based on support vector regression

(2016) G. Santamaría-Bonfil et al.   RENEWABLE ENERGY

Short-Term Wind Speed or Power Forecasting With Heteroscedastic Support Vector Regression

(2016) Qinghua Hu et al.   IEEE Transactions on Sustainable Energy

An Interval-Valued Neural Network Approach for Uncertainty Quantification in Short-Term Wind Speed Prediction

(2015) Ronay Ak et al.   IEEE Transactions on Neural Networks and Learning Systems

Predictive Deep Boltzmann Machine for Multiperiod Wind Speed Forecasting

(2015) Chun-Yang Zhang et al.   IEEE Transactions on Sustainable Energy

Short-term wind power prediction based on Hybrid Neural Network and chaotic shark smell optimization

(2015) Oveis Abedinia et al.   International Journal of Precision Engineering and Manufacturing-Green Technology

A Hybrid Intelligent Model for Deterministic and Quantile Regression Approach for Probabilistic Wind Power Forecasting

(2014) Ashraf Ul Haque et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Short-Term Load and Wind Power Forecasting Using Neural Network-Based Prediction Intervals

(2013) Hao Quan et al.   IEEE Transactions on Neural Networks and Learning Systems

Short-Term Wind Power Ensemble Prediction Based on Gaussian Processes and Neural Networks

(2013) Duehee Lee et al.   IEEE Transactions on Smart Grid