Efficient bootstrap stacking ensemble learning model applied to wind power generation forecasting

Evolutionary Hybrid System for Energy Consumption Forecasting for Smart Meters

(2021) Diogo M. F. Izidio et al.   Energies

Application of bagging ensemble model for predicting compressive strength of hollow concrete masonry prism

(2021) Ahmad Sharafati et al.   Ain Shams Engineering Journal

Sparse and robust estimation with ridge minimax concave penalty

(2021) He Jiang et al.   INFORMATION SCIENCES

A novel optimization framework for integrated local energy system multi-objective dispatch problem based on dynamic knowledge base

(2021) Xin Li et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Short-term wind speed forecasting based on long short-term memory and improved BP neural network

(2021) Gonggui Chen et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Simultaneous feature selection and clustering based on square root optimization

(2020) He Jiang et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

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

(2020) Huanling Hu et al.   RENEWABLE ENERGY

A time series model based on hybrid-kernel least-squares support vector machine for short-term wind power forecasting

(2020) Min Ding et al.   ISA TRANSACTIONS

Robust low-rank multiple kernel learning with compound regularization

(2020) He Jiang et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Hybrid multi-stage decomposition with parametric model applied to wind speed forecasting in Brazilian Northeast

(2020) Sinvaldo Rodrigues Moreno et al.   RENEWABLE ENERGY

A multi-objective wind speed and wind power prediction interval forecasting using variational modes decomposition based Multi-Kernel Robust Ridge regression

(2019) Jyotirmayee Naik et al.   RENEWABLE ENERGY

A novel hybrid model for short-term wind power forecasting

(2019) Pei Du et al.   APPLIED SOFT COMPUTING

Very short-term wind power density forecasting through artificial neural networks for microgrid control

(2019) Fermín Rodríguez et al.   RENEWABLE ENERGY

Short-term traffic state prediction from latent structures: Accuracy vs. efficiency

(2019) Wan Li et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

A novel combined model based on advanced optimization algorithm for short-term wind speed forecasting

(2018) Jingjing Song et al.   APPLIED ENERGY

Improving the prediction of ground motion parameters based on an efficient bagging ensemble model of M5′ and CART algorithms

(2018) S.M. Hamze-Ziabari et al.   APPLIED SOFT COMPUTING

Stacking ensemble with parsimonious base models to improve generalization capability in the characterization of steel bolted components

(2018) A. Pernía-Espinoza et al.   APPLIED SOFT COMPUTING

Forecasting mid-long term electric energy consumption through bagging ARIMA and exponential smoothing methods

(2018) Erick Meira de Oliveira et al.   ENERGY

Exploring the sources of uncertainty: Why does bagging for time series forecasting work?

(2018) Fotios Petropoulos et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Forecasting with a hybrid method utilizing data smoothing, a variation of the Theta method and shrinkage of seasonal factors

(2018) Evangelos Spiliotis et al.   INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS

Improving forecasting accuracy for stock market data using EMD-HW bagging

(2018) Ahmad M. Awajan et al.   PLoS One

Evaluation of empirical models for predicting monthly mean horizontal diffuse solar radiation

(2016) Milan Despotovic 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

Short-term multi-objective optimization scheduling for cascaded hydroelectric plants with dynamic generation flow limit based on EMA and DEA

(2013) Wu Jiekang et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Forecasting Time Series With Complex Seasonal Patterns Using Exponential Smoothing

(2012) Alysha M. De Livera et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION