Wind Power Forecasting Based on Echo State Networks and Long Short-Term Memory

A vector autoregression weather model for electricity supply and demand modeling

(2018) Yixian LIU et al.   Journal of Modern Power Systems and Clean Energy

Advanced Wind Speed Prediction Model Based on a Combination of Weibull Distribution and an Artificial Neural Network

(2017) Athraa Ali Kadhem et al.   Energies

Different Models for Forecasting Wind Power Generation: Case Study

(2017) David Barbosa de Alencar et al.   Energies

Day-Ahead Wind Power Forecasting Using a Two-Stage Hybrid Modeling Approach Based on SCADA and Meteorological Information, and Evaluating the Impact of Input-Data Dependency on Forecasting Accuracy

(2017) Dehua Zheng et al.   Energies

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

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

A new design methodology to predict wind farm energy production by means of a spiking neural network-based system

(2017) Sebastian Brusca et al.   INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS

Use of a quantile regression based echo state network ensemble for construction of prediction Intervals of gas flow in a blast furnace

(2016) Zheng Lv et al.   CONTROL ENGINEERING PRACTICE

Wind Speed Prediction Using a Univariate ARIMA Model and a Multivariate NARX Model

(2016) Erasmo Cadenas et al.   Energies

Wind Power Generation Forecasting Using Least Squares Support Vector Machine Combined with Ensemble Empirical Mode Decomposition, Principal Component Analysis and a Bat Algorithm

(2016) Qunli Wu et al.   Energies

Leveraging stochastic differential equations for probabilistic forecasting of wind power using a dynamic power curve

(2016) Emil B. Iversen et al.   WIND ENERGY

Wind Speed Forecasting Based on FEEMD and LSSVM Optimized by the Bat Algorithm

(2015) Wei Sun et al.   Energies

Short-term wind speed forecasting based on spectral clustering and optimised echo state networks

(2015) Da Liu 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 physical approach of the short-term wind power prediction based on CFD pre-calculated flow fields

(2013) Li LI et al.   Journal of Hydrodynamics

Wind speed and wind energy forecast through Kalman filtering of Numerical Weather Prediction model output

(2012) Federico Cassola et al.   APPLIED ENERGY

Prediction for noisy nonlinear time series by echo state network based on dual estimation

(2012) Chunyang Sheng et al.   NEUROCOMPUTING

Assessing the costs of photovoltaic and wind power in six developing countries

(2012) Tobias S. Schmidt et al.   Nature Climate Change

Current methods and advances in forecasting of wind power generation

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

A hybrid statistical method to predict wind speed and wind power

(2010) Hui Liu et al.   RENEWABLE ENERGY

A review on the forecasting of wind speed and generated power

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