Ridge regression ensemble of machine learning models applied to solar and wind forecasting in Brazil and Spain

Methodology Based on Artificial Neural Networks for Hourly Forecasting of PV Plants Generation

(2022) Andre Wagner de Barros Silva et al.   IEEE Latin America Transactions

An ensemble machine learning approach for determination of the optimum sampling time for evapotranspiration assessment from high-throughput phenotyping data

(2021) Soumyashree Kar et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Improving Wind Power Forecasts: Combination through Multivariate Dimension Reduction Techniques

(2021) Marta Poncela-Blanco et al.   Energies

A new interval prediction methodology for short-term electric load forecasting based on pattern recognition

(2021) Xavier Serrano-Guerrero et al.   APPLIED ENERGY

A new methodology to estimate future water‐energy nexus based on artificial neural networks

(2021) Paulo C. M. Carvalho et al.   INTERNATIONAL JOURNAL OF ENERGY RESEARCH

Review on Photovoltaic Power and Solar Resource Forecasting: Current Status and Trends

(2021) Tatiane Carolyne Carneiro et al.   JOURNAL OF SOLAR ENERGY ENGINEERING-TRANSACTIONS OF THE ASME

Interpretable machine learning with an ensemble of gradient boosting machines

(2021) Andrei V. Konstantinov et al.   KNOWLEDGE-BASED SYSTEMS

Hybrid ensemble machine learning approaches for landslide susceptibility mapping using different sampling ratios at East Sikkim Himalayan, India

(2021) Sunil Saha et al.   ADVANCES IN SPACE RESEARCH

Machine Learning techniques for solar irradiation nowcasting: Cloud type classification forecast through satellite data and imagery

(2021) Alfredo Nespoli et al.   APPLIED ENERGY

Improving solar forecasting using Deep Learning and Portfolio Theory integration

(2020) Marcello Anderson F.B. Lima et al.   ENERGY

Ensemble model output statistics as a probabilistic site-adaptation tool for satellite-derived and reanalysis solar irradiance

(2020) Dazhi Yang   Journal of Renewable and Sustainable Energy

A Computational Study of Potential miRNA-Disease Association Inference Based on Ensemble Learning and Kernel Ridge Regression

(2020) Li-Hong Peng et al.   Frontiers in Bioengineering and Biotechnology

Complete ensemble empirical mode decomposition hybridized with random forest and kernel ridge regression model for monthly rainfall forecasts

(2020) Mumtaz Ali et al.   JOURNAL OF HYDROLOGY

A combined forecasting system based on modified multi-objective optimization and sub-model selection strategy for short-term wind speed

(2020) Qingguo Zhou et al.   APPLIED SOFT COMPUTING

A distributed memory RBF-based model for variable generation forecasting

(2020) George Sideratos et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

An Improved Anticancer Drug-Response Prediction Based on an Ensemble Method Integrating Matrix Completion and Ridge Regression

(2020) Chuanying Liu et al.   Molecular Therapy-Nucleic Acids

Probabilistic Solar Power Forecasting Using Bayesian Model Averaging

(2020) Kate Doubleday et al.   IEEE Transactions on Sustainable Energy

A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer

(2020) Aytaç Altan et al.   APPLIED SOFT COMPUTING

Constrained quantile regression splines for ensemble postprocessing

(2019) John Bjørnar Bremnes   MONTHLY WEATHER REVIEW

Application of artificial neural networks for testing long-term energy policy targets

(2019) Damir J. Đozić et al.   ENERGY

Automatic hourly solar forecasting using machine learning models

(2019) Gokhan Mert Yagli et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

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

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

A novel composite neural network based method for wind and solar power forecasting in microgrids

(2019) Azim Heydari et al.   APPLIED ENERGY

Ensemble spatiotemporal forecasting of solar irradiation using variational Bayesian convolutional gate recurrent unit network

(2019) Yongqi Liu et al.   APPLIED ENERGY

A combined forecasting model for time series: Application to short-term wind speed forecasting

(2019) Zhenkun Liu et al.   APPLIED ENERGY

Random forest solar power forecast based on classification optimization

(2019) Da Liu et al.   ENERGY

Extended-range probabilistic fire-weather forecasting based on Ensemble Model Output Statistics and Ensemble Copula Coupling

(2019) Rochelle P. Worsnop et al.   MONTHLY WEATHER REVIEW

Day-ahead spatio-temporal forecasting of solar irradiation along a navigation route

(2018) Hai Lan et al.   APPLIED ENERGY

The combined value of wind and solar power forecasting improvements and electricity storage

(2018) Bri-Mathias Hodge et al.   APPLIED ENERGY

Estimates of energy consumption in China using a self-adaptive multi-verse optimizer-based support vector machine with rolling cross-validation

(2018) Xiaoyu Wang et al.   ENERGY

On the simulation of aggregated solar PV forecast errors

(2018) Edgar Nuno Martinez et al.   IEEE Transactions on Sustainable Energy

Application of support vector machine models for forecasting solar and wind energy resources: A review

(2018) Alireza Zendehboudi et al.   JOURNAL OF CLEANER PRODUCTION

A new ultra-short-term photovoltaic power prediction model based on ground-based cloud images

(2018) Keyong Hu et al.   JOURNAL OF CLEANER PRODUCTION

Forecasting of solar power ramp events: A post-processing approach

(2018) Mohamed Abuella et al.   RENEWABLE ENERGY

Corrective receding horizon EV charge scheduling using short-term solar forecasting

(2018) Guang Chao Wang et al.   RENEWABLE ENERGY

Trees vs Neurons: Comparison between random forest and ANN for high-resolution prediction of building energy consumption

(2017) Muhammad Waseem Ahmad et al.   ENERGY AND BUILDINGS

Benefits of solar forecasting for energy imbalance markets

(2016) Amanpreet Kaur et al.   RENEWABLE ENERGY

Review of photovoltaic power forecasting

(2016) J. Antonanzas et al.   SOLAR ENERGY

An analog ensemble for short-term probabilistic solar power forecast

(2015) S. Alessandrini et al.   APPLIED ENERGY

A novel hybrid approach based on self-organizing maps, support vector regression and particle swarm optimization to forecast solar irradiance

(2015) Zibo Dong et al.   ENERGY

Intelligent optimization models based on hard-ridge penalty and RBF for forecasting global solar radiation

(2015) He Jiang et al.   ENERGY CONVERSION AND MANAGEMENT

Modeling and Characterization of a Photovoltaic Array Based on Actual Performance Using Cascade-Forward Back Propagation Artificial Neural Network

(2015) Ammar Mohammed Ameen et al.   JOURNAL OF SOLAR ENERGY ENGINEERING-TRANSACTIONS OF THE ASME

Nearest-neighbor methodology for prediction of intra-hour global horizontal and direct normal irradiances

(2015) Hugo T.C. Pedro et al.   RENEWABLE ENERGY

Short-term load forecasting in electrical power systems via trajectory tracking and error correcting approach

(2014) Yongduan Song et al.   Journal of Renewable and Sustainable Energy

Impacts of Large-Scale Wind Penetration on Designing and Operation of Electric Power Systems

(2010) John Kabouris et al.   IEEE Transactions on Sustainable Energy