Short-term wind power prediction based on EEMD–LASSO–QRNN model

Wind power prediction using a three stage genetic ensemble and auxiliary predictor

(2020) Farah Shahid et al.   APPLIED SOFT COMPUTING

A hybrid model based on data preprocessing strategy and error correction system for wind speed forecasting

(2020) Ying Deng et al.   ENERGY CONVERSION AND MANAGEMENT

Evaluation of wind power forecasts—An up‐to‐date view

(2020) Jakob W. Messner et al.   WIND ENERGY

A novel probabilistic short-term wind energy forecasting model based on an improved kernel density estimation

(2020) Jiansheng Guan et al.   INTERNATIONAL JOURNAL OF HYDROGEN ENERGY

An EMD-SVR model for short-term prediction of ship motion using mirror symmetry and SVR algorithms to eliminate EMD boundary effect

(2020) Zhihong Nie et al.   OCEAN ENGINEERING

A Review on Hybrid Empirical Mode Decomposition Models for Wind Speed and Wind Power Prediction

(2019) Neeraj Bokde et al.   Energies

Repeated wavelet transform based ARIMA model for very short-term wind speed forecasting

(2019) Aasim et al.   RENEWABLE ENERGY

A novel two-stage forecasting model based on error factor and ensemble method for multi-step wind power forecasting

(2019) Yan Hao et al.   APPLIED ENERGY

A novel hybrid model for short-term wind power forecasting

(2019) Pei Du et al.   APPLIED SOFT COMPUTING

Deterministic wind energy forecasting: A review of intelligent predictors and auxiliary methods

(2019) Hui Liu et al.   ENERGY CONVERSION AND MANAGEMENT

A new multistage short-term wind power forecast model using decomposition and artificial intelligence methods

(2019) Hasan Hüseyin Çevik et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Chaotic wind power time series prediction via switching data-driven modes

(2019) Tinghui Ouyang et al.   RENEWABLE ENERGY

A hybrid wind power forecasting approach based on Bayesian model averaging and ensemble learning

(2019) Gang Wang et al.   RENEWABLE ENERGY

Multi-distribution ensemble probabilistic wind power forecasting

(2019) Mucun Sun et al.   RENEWABLE ENERGY

A hybrid gravitational search algorithm with swarm intelligence and deep convolutional feature for object tracking optimization

(2018) Kyuchang Kang et al.   APPLIED SOFT COMPUTING

Ensemble incremental learning Random Vector Functional Link network for short-term electric load forecasting

(2018) Xueheng Qiu et al.   KNOWLEDGE-BASED SYSTEMS

Assessment of machine learning techniques for deterministic and probabilistic intra-hour solar forecasts

(2018) Hugo T.C. Pedro et al.   RENEWABLE ENERGY

Parametric methods for probabilistic forecasting of solar irradiance

(2018) Seyyed A. Fatemi et al.   RENEWABLE ENERGY

A Multi-model Combination Approach for Probabilistic Wind Power Forecasting

(2018) You Lin et al.   IEEE Transactions on Sustainable Energy

Analysis of differencing and decomposition preprocessing methods for wind speed prediction

(2018) Neeraj Bokde et al.   APPLIED SOFT COMPUTING

Research and application of a hybrid model based on Meta learning strategy for wind power deterministic and probabilistic forecasting

(2018) Jianming Hu et al.   ENERGY CONVERSION AND MANAGEMENT

Electricity consumption probability density forecasting method based on LASSO-Quantile Regression Neural Network

(2018) Yaoyao He et al.   APPLIED ENERGY

Multiple kernel learning using nonlinear lasso

(2018) Tinghua Wang et al.   IEEJ Transactions on Electrical and Electronic Engineering

Wind power prediction based on variational mode decomposition multi-frequency combinations

(2018) Gang ZHANG et al.   Journal of Modern Power Systems and Clean Energy

A Naive Bayesian Wind Power Interval Prediction Approach Based on Rough Set Attribute Reduction and Weight Optimization

(2017) et al.   Energies

Direct Quantile Regression for Nonparametric Probabilistic Forecasting of Wind Power Generation

(2017) Can Wan et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Quantile regression and variable selection for partially linear model with randomly truncated data

(2017) Hong-Xia Xu et al.   STATISTICAL PAPERS

A Data Mining Approach Combining $K$ -Means Clustering With Bagging Neural Network for Short-Term Wind Power Forecasting

(2017) Wenbin Wu et al.   IEEE Internet of Things Journal

Short-term wind speed and wind power prediction using hybrid empirical mode decomposition and kernel ridge regression

(2017) Jyotirmayee Naik et al.   APPLIED SOFT COMPUTING

Stock trend prediction based on a new status box method and AdaBoost probabilistic support vector machine

(2016) Xiao-dan Zhang et al.   APPLIED SOFT COMPUTING

Computer-aided sleep staging using Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and bootstrap aggregating

(2016) Ahnaf Rashik Hassan et al.   Biomedical Signal Processing and Control

Short-term power load probability density forecasting based on quantile regression neural network and triangle kernel function

(2016) Yaoyao He et al.   ENERGY

Reviews on uncertainty analysis of wind power forecasting

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

Ensemble methods for wind and solar power forecasting—A state-of-the-art review

(2015) Ye Ren et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Review on probabilistic forecasting of wind power generation

(2014) Yao Zhang et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A review of combined approaches for prediction of short-term wind speed and power

(2014) A. Tascikaraoglu et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Regression shrinkage and selection via the lasso: a retrospective

(2011) Robert Tibshirani   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY