Short-term wind power forecasting by stacked recurrent neural networks with parametric sine activation function

Time Series Analysis and Forecasting Using a Novel Hybrid LSTM Data-Driven Model Based on Empirical Wavelet Transform Applied to Total Column of Ozone at Buenos Aires, Argentina (1966–2017)

(2020) Nkanyiso Mbatha et al.   Atmosphere

Models for Short-Term Wind Power Forecasting Based on Improved Artificial Neural Network Using Particle Swarm Optimization and Genetic Algorithms

(2020) Dinh Thanh Viet et al.   Energies

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

Forecasting energy consumption and wind power generation using deep echo state network

(2020) Huanling Hu et al.   RENEWABLE ENERGY

Short-term forecasting and uncertainty analysis of wind turbine power based on long short-term memory network and Gaussian mixture model

(2019) Jinhua Zhang et al.   APPLIED ENERGY

A novel non-linear combination system for short-term wind speed forecast

(2019) Jianzhou Wang et al.   RENEWABLE ENERGY

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

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

Polynomial activation neural networks: Modeling, stability analysis and coverage BP-training

(2019) Jun Zhou et al.   NEUROCOMPUTING

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

(2019) Cong Wang et al.   APPLIED ENERGY

Smart wind speed deep learning based multi-step forecasting model using singular spectrum analysis, convolutional Gated Recurrent Unit network and Support Vector Regression

(2019) Hui Liu et al.   RENEWABLE ENERGY

Sigmoid-weighted linear units for neural network function approximation in reinforcement learning

(2018) Stefan Elfwing et al.   NEURAL NETWORKS

A Hybrid Wind Speed Forecasting System Based on a ‘Decomposition and Ensemble’ Strategy and Fuzzy Time Series

(2017) Hufang Yang et al.   Energies

Short-term wind power combined forecasting based on error forecast correction

(2016) Zhengtang Liang et al.   ENERGY CONVERSION AND MANAGEMENT

Modeling time series data with deep Fourier neural networks

(2016) Michael S. Gashler et al.   NEUROCOMPUTING

The Wind Integration National Dataset (WIND) Toolkit

(2015) Caroline Draxl et al.   APPLIED ENERGY

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

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

Application of residual modification approach in seasonal ARIMA for electricity demand forecasting: A case study of China

(2012) Yuanyuan Wang et al.   ENERGY POLICY

Short-term wind power forecasting using ridgelet neural network

(2011) Nima Amjady et al.   ELECTRIC POWER SYSTEMS RESEARCH

Current methods and advances in forecasting of wind power generation

(2011) Aoife M. Foley et al.   RENEWABLE ENERGY

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

(2010) Ergin Erdem et al.   APPLIED ENERGY

A review on the forecasting of wind speed and generated power

(2008) Ma Lei et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS