Multi-step wind speed prediction by combining a WRF simulation and an error correction strategy

Hydropower reservoir reoperation to adapt to large-scale photovoltaic power generation

(2019) Bo Ming et al.   ENERGY

Short-term wind power forecasts by a synthetical similar time series data mining method

(2018) Gaiping Sun et al.   RENEWABLE ENERGY

Multi-step ahead wind speed prediction based on optimal feature extraction, long short term memory neural network and error correction strategy

(2018) Jujie Wang et al.   APPLIED ENERGY

Advanced wind power prediction based on data-driven error correction

(2018) Jing Yan et al.   ENERGY CONVERSION AND MANAGEMENT

A novel wind speed forecasting based on hybrid decomposition and online sequential outlier robust extreme learning machine

(2018) Dan Zhang et al.   ENERGY CONVERSION AND MANAGEMENT

An improved multi-step forecasting model based on WRF ensembles and creative fuzzy systems for wind speed

(2016) Jing Zhao et al.   APPLIED ENERGY

Linear and non-linear autoregressive models for short-term wind speed forecasting

(2016) M. Lydia et al.   ENERGY CONVERSION AND MANAGEMENT

Current status of wind energy forecasting and a hybrid method for hourly predictions

(2016) Inci Okumus et al.   ENERGY CONVERSION AND MANAGEMENT

Analysis and application of forecasting models in wind power integration: A review of multi-step-ahead wind speed forecasting models

(2016) Jianzhou Wang et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

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

(2016) Qinghua Hu et al.   RENEWABLE ENERGY

Wind speed forecasting based on the hybrid ensemble empirical mode decomposition and GA-BP neural network method

(2016) Shouxiang Wang et al.   RENEWABLE ENERGY

Analysis of multi-scale chaotic characteristics of wind power based on Hilbert–Huang transform and Hurst analysis

(2015) Zhengtang Liang et al.   APPLIED ENERGY

A robust combination approach for short-term wind speed forecasting and analysis – Combination of the ARIMA (Autoregressive Integrated Moving Average), ELM (Extreme Learning Machine), SVM (Support Vector Machine) and LSSVM (Least Square SVM) forecasts using a GPR (Gaussian Process Regression) model

(2015) Jianzhou Wang et al.   ENERGY

Wind speed prediction using reduced support vector machines with feature selection

(2015) Xiaobing Kong et al.   NEUROCOMPUTING

Wind speed forecast correction models using polynomial neural networks

(2015) Ladislav Zjavka   RENEWABLE ENERGY

Wind power forecasting based on principle component phase space reconstruction

(2015) Li Han et al.   RENEWABLE ENERGY

A Short-Term Wind Power Forecasting Approach With Adjustment of Numerical Weather Prediction Input by Data Mining

(2015) Qianyao Xu et al.   IEEE Transactions on Sustainable Energy

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

Variational Mode Decomposition

(2014) Konstantin Dragomiretskiy et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Validation of boundary layer parameterization schemes in the weather research and forecasting model under the aspect of offshore wind energy applications- Part I: Average wind speed and wind shear

(2014) O. Krogsaeter et al.   WIND ENERGY

Short-term wind speed prediction using an unscented Kalman filter based state-space support vector regression approach

(2013) Kuilin Chen et al.   APPLIED ENERGY

Wind Power Forecasts Using Gaussian Processes and Numerical Weather Prediction

(2013) Niya Chen et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

The impact of model physics on numerical wind forecasts

(2013) William Y.Y. Cheng et al.   RENEWABLE ENERGY

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

(2012) Federico Cassola et al.   APPLIED ENERGY

Improving the Representation of Resolved and Unresolved Topographic Effects on Surface Wind in the WRF Model

(2011) Pedro A. Jiménez et al.   Journal of Applied Meteorology and Climatology

Multi-step forecasting for wind speed using a modified EMD-based artificial neural network model

(2011) Zhenhai Guo et al.   RENEWABLE ENERGY

Short term wind speed prediction based on evolutionary support vector regression algorithms

(2010) Sancho Salcedo-Sanz et al.   EXPERT SYSTEMS WITH APPLICATIONS

Short-Horizon Prediction of Wind Power: A Data-Driven Approach

(2010) Andrew Kusiak et al.   IEEE TRANSACTIONS ON ENERGY CONVERSION

Wind speed forecasting in three different regions of Mexico, using a hybrid ARIMA–ANN model

(2010) Erasmo Cadenas et al.   RENEWABLE ENERGY

A review on the forecasting of wind speed and generated power

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

Day-ahead wind speed forecasting using f-ARIMA models

(2008) Rajesh G. Kavasseri et al.   RENEWABLE ENERGY

Hybridizing the fifth generation mesoscale model with artificial neural networks for short-term wind speed prediction

(2008) Sancho Salcedo-Sanz et al.   RENEWABLE ENERGY