Point and interval forecasting of ultra-short-term wind power based on a data-driven method and hybrid deep learning model

A novel hybrid model based on Bernstein polynomial with mixture of Gaussians for wind power forecasting

(2021) Yingchao Dong et al.   APPLIED ENERGY

Very Short-term Forecasting of Wind Power Generation using Hybrid Deep Learning Model

(2021) Md Alamgir Hossain et al.   JOURNAL OF CLEANER PRODUCTION

A novel genetic LSTM model for wind power forecast

(2021) Farah Shahid et al.   ENERGY

An extended new approach for forecasting short-term wind power using modified fuzzy wavelet neural network: A case study in wind power plant

(2021) Saeid Jafarzadeh Ghoushchi et al.   ENERGY

A deep learning-based evolutionary model for short-term wind speed forecasting: A case study of the Lillgrund offshore wind farm

(2021) Mehdi Neshat et al.   ENERGY CONVERSION AND MANAGEMENT

Short-term wind power prediction based on multidimensional data cleaning and feature reconfiguration

(2021) Shuai Wang et al.   APPLIED ENERGY

Hybrid forecasting method for wind power integrating spatial correlation and corrected numerical weather prediction

(2021) Shuai Hu et al.   APPLIED ENERGY

Multi-objective wind power scenario forecasting based on PG-GAN

(2021) Ran Yuan et al.   ENERGY

An improved deep belief network based hybrid forecasting method for wind power

(2021) Shuai Hu et al.   ENERGY

2-D regional short-term wind speed forecast based on CNN-LSTM deep learning model

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

Hybrid wind speed forecasting model based on multivariate data secondary decomposition approach and deep learning algorithm with attention mechanism

(2021) Shuai Zhang et al.   RENEWABLE ENERGY

Probabilistic wind power forecasting using selective ensemble of finite mixture Gaussian process regression models

(2021) Huaiping Jin et al.   RENEWABLE ENERGY

Review of meta-heuristic algorithms for wind power prediction: Methodologies, applications and challenges

(2021) Peng Lu et al.   APPLIED ENERGY

A comprehensive wind speed prediction system based on Monte Carlo and artificial intelligence algorithms

(2021) Yagang Zhang et al.   APPLIED ENERGY

A review of wind speed and wind power forecasting with deep neural networks

(2021) Yun Wang et al.   APPLIED ENERGY

A center-of-concentrated-based prediction interval for wind power forecasting

(2021) Hao-Han Tsao et al.   ENERGY

Wind speed behaviors feather analysis and its utilization on wind speed prediction using 3D-CNN

(2021) Xiaoxun Zhu et al.   ENERGY

Using enhanced crow search algorithm optimization-extreme learning machine model to forecast short-term wind power

(2021) Ling-Ling Li et al.   EXPERT SYSTEMS WITH APPLICATIONS

Wind power forecasting based on stacking ensemble model, decomposition and intelligent optimization algorithm

(2021) Yingchao Dong et al.   NEUROCOMPUTING

A novel hybrid machine learning model for short-term wind speed prediction in inner Mongolia, China

(2021) Boqiang Lin et al.   RENEWABLE ENERGY

A novel approach to multi-horizon wind power forecasting based on deep neural architecture

(2021) Dominik Putz et al.   RENEWABLE ENERGY

A novel deep learning ensemble model with data denoising for short-term wind speed forecasting

(2020) Zhiyun Peng et al.   ENERGY CONVERSION AND MANAGEMENT

China in global wind power development: Role, status and impact

(2020) Shijie Zhang et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Short-term wind power forecasting using the hybrid model of improved variational mode decomposition and Correntropy Long Short -term memory neural network

(2020) Jiandong Duan et al.   ENERGY

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

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

Wind power forecasting – A data-driven method along with gated recurrent neural network

(2020) Adam Kisvari et al.   RENEWABLE ENERGY

Sparse Heteroscedastic Multiple Spline Regression Models for Wind Turbine Power Curve Modeling

(2020) Yun Wang et al.   IEEE Transactions on Sustainable Energy

A self-adaptive kernel extreme learning machine for short-term wind speed forecasting

(2020) Liye Xiao et al.   APPLIED SOFT COMPUTING

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

(2020) Xin Liu et al.   ELECTRIC POWER SYSTEMS RESEARCH

A combined forecasting system based on statistical method, artificial neural networks, and deep learning methods for short-term wind speed forecasting

(2020) Ping Jiang et al.   ENERGY

Uncertainty analysis of wind power probability density forecasting based on cubic spline interpolation and support vector quantile regression

(2020) Yaoyao He et al.   NEUROCOMPUTING

An overview of performance evaluation metrics for short-term statistical wind power forecasting

(2020) J.M. González-Sopeña et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Bi-directional long short-term memory method based on attention mechanism and rolling update for short-term load forecasting

(2019) Shouxiang Wang et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

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

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

Data processing strategies in wind energy forecasting models and applications: A comprehensive review

(2019) Hui Liu et al.   APPLIED ENERGY

Hybrid forecasting system based on an optimal model selection strategy for different wind speed forecasting problems

(2019) Qingguo Zhou et al.   APPLIED ENERGY

Wind Power Short-Term Forecasting Hybrid Model Based on CEEMD-SE Method

(2019) Keke Wang et al.   Processes

Conditional aggregated probabilistic wind power forecasting based on spatio-temporal correlation

(2019) Mucun Sun et al.   APPLIED ENERGY

Probabilistic spatiotemporal wind speed forecasting based on a variational Bayesian deep learning model

(2019) Yongqi Liu et al.   APPLIED ENERGY

Data-driven symbolic ensemble models for wind speed forecasting through evolutionary algorithms

(2019) Amanda S. Dufek et al.   APPLIED SOFT COMPUTING

Wind power forecast based on improved Long Short Term Memory network

(2019) Li Han et al.   ENERGY

Short-term wind power forecasting based on support vector machine with improved dragonfly algorithm

(2019) Ling-Ling Li et al.   JOURNAL OF CLEANER PRODUCTION

One-day-ahead probabilistic wind speed forecast based on optimized numerical weather prediction data

(2018) Xinyu Zhao et al.   ENERGY CONVERSION AND MANAGEMENT

Short-term wind speed forecasting based on fast ensemble empirical mode decomposition, phase space reconstruction, sample entropy and improved back-propagation neural network

(2018) Wei Sun 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 Fuzzy Adaptive Probabilistic Wind Power Prediction Framework Using Diffusion Kernel Density Estimators

(2018) Benyamin Khorramdel et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Deep belief network based k-means cluster approach for short-term wind power forecasting

(2018) Kejun Wang et al.   ENERGY

Development of wind power industry in China: A comprehensive assessment

(2018) Juchuan Dai et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Non-parametric hybrid models for wind speed forecasting

(2017) Qinkai Han et al.   ENERGY CONVERSION AND MANAGEMENT

A mixture kernel density model for wind speed probability distribution estimation

(2016) Shuwei Miao et al.   ENERGY CONVERSION AND MANAGEMENT

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

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

Wind speed forecasting approach using secondary decomposition algorithm and Elman neural networks

(2015) Hui Liu et al.   APPLIED ENERGY

Short-term wind speed prediction based on robust Kalman filtering: An experimental comparison

(2015) Carlos D. Zuluaga et al.   APPLIED ENERGY

Wind power forecast using wavelet neural network trained by improved Clonal selection algorithm

(2015) Hamed Chitsaz et al.   ENERGY CONVERSION AND MANAGEMENT

Short-term wind power prediction based on LSSVM–GSA model

(2015) Xiaohui Yuan et al.   ENERGY CONVERSION AND MANAGEMENT

Reviews on uncertainty analysis of wind power forecasting

(2015) Jie Yan et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Grey Wolf Optimizer

(2014) Seyedali Mirjalili et al.   ADVANCES IN ENGINEERING SOFTWARE

Variational Mode Decomposition

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

Current status and future advances for wind speed and power forecasting

(2014) Jaesung Jung et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Estimating wind speed probability distribution using kernel density method

(2011) Zhilong Qin et al.   ELECTRIC POWER SYSTEMS RESEARCH

Current methods and advances in forecasting of wind power generation

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