A Comprehensive Review on Ensemble Solar Power Forecasting Algorithms

Weather Forecasting for Renewable Energy System: A Review

(2022) R. Meenal et al.   ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING

Short-term PV Output Power Forecasting Based on CEEMDAN-AE-GRU

(2022) Na Zhang et al.   Journal of Electrical Engineering & Technology

Forecasting Geomagnetic activity (Dst Index) using the ensemble kalman filter

(2022) B Nilam et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

An interpretable probabilistic model for short-term solar power forecasting using natural gradient boosting

(2022) Georgios Mitrentsis et al.   APPLIED ENERGY

Hybridization of hybrid structures for time series forecasting: a review

(2022) Zahra Hajirahimi et al.   ARTIFICIAL INTELLIGENCE REVIEW

Investigating the application of Kalman Filters for real-time accountancy in fusion fuel cycles

(2022) H.B. Flynn et al.   FUSION ENGINEERING AND DESIGN

A comprehensive review and analysis of solar forecasting techniques

(2021) Pardeep Singla et al.   Frontiers in Energy

Boosting algorithms in energy research: a systematic review

(2021) Hristos Tyralis et al.   NEURAL COMPUTING & APPLICATIONS

Post-processing in solar forecasting: Ten overarching thinking tools

(2021) Dazhi Yang et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

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

(2021) Yaoyao He et al.   APPLIED SOFT COMPUTING

A deep learning based hybrid method for hourly solar radiation forecasting

(2021) Chun Sing Lai et al.   EXPERT SYSTEMS WITH APPLICATIONS

A novel approach to investigate the effects of global warming and exchange rate on the solar power plants

(2021) Mert Gürtürk et al.   ENERGY

Deep learning models for solar irradiance forecasting: A comprehensive review

(2021) Pratima Kumari et al.   Journal of Cleaner Production

Solar forecasting with hourly updated numerical weather prediction

(2021) Gang Zhang et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Probabilistic Solar Power Forecasting Based on Bivariate Conditional Solar Irradiation Distributions

(2021) Hyeonjin Kim et al.   IEEE Transactions on Sustainable Energy

Variational mode decomposition based random forest model for solar radiation forecasting: New emerging machine learning technology

(2021) Mumtaz Ali et al.   Energy Reports

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

(2021) Matheus Henrique Dal Molin Ribeiro et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Comparison of Implicit vs. Explicit Regime Identification in Machine Learning Methods for Solar Irradiance Prediction

(2020) Tyler McCandless et al.   Energies

Reliable solar irradiance prediction using ensemble learning-based models: A comparative study

(2020) Junho Lee et al.   ENERGY CONVERSION AND MANAGEMENT

A Framework of Using Machine Learning Approaches for Short-Term Solar Power Forecasting

(2020) Usman Munawar et al.   Journal of Electrical Engineering & Technology

Advanced Methods for Photovoltaic Output Power Forecasting: A Review

(2020) Adel Mellit et al.   Applied Sciences-Basel

An Ensemble Learner-Based Bagging Model Using Past Output Data for Photovoltaic Forecasting

(2020) Sunghyeon Choi et al.   Energies

Solar Irradiance Resource and Forecasting: A Comprehensive Review

(2020) Dhivya Sampath Kumar et al.   IET Renewable Power Generation

A review and evaluation of the state-of-the-art in PV solar power forecasting: Techniques and optimization

(2020) R. Ahmed et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Daily Photovoltaic Power Generation Forecasting Model Based on Random Forest Algorithm for North China in Winter

(2020) Ming Meng et al.   Sustainability

A comprehensive review of hybrid models for solar radiation forecasting

(2020) Mawloud Guermoui et al.   JOURNAL OF CLEANER PRODUCTION

Extreme gradient boosting and deep neural network based ensemble learning approach to forecast hourly solar irradiance

(2020) Pratima Kumari et al.   JOURNAL OF CLEANER PRODUCTION

A systematic analysis of meteorological variables for PV output power estimation

(2020) Tarek AlSkaif et al.   RENEWABLE ENERGY

Multistep-Ahead Solar Radiation Forecasting Scheme Based on the Light Gradient Boosting Machine: A Case Study of Jeju Island

(2020) Jinwoong Park et al.   Remote Sensing

A minutely solar irradiance forecasting method based on real-time sky image-irradiance mapping model

(2020) Fei Wang et al.   ENERGY CONVERSION AND MANAGEMENT

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

(2019) Neeraj Bokde et al.   Energies

Automatic hourly solar forecasting using machine learning models

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

On post-processing day-ahead NWP forecasts using Kalman filtering

(2019) Dazhi Yang   SOLAR ENERGY

Day-ahead power forecasting in a large-scale photovoltaic plant based on weather classification using LSTM

(2019) Mingming Gao et al.   ENERGY

Ensemble approach based on bagging, boosting and stacking for short-term prediction in agribusiness time series

(2019) Matheus Henrique Dal Molin Ribeiro et al.   APPLIED SOFT COMPUTING

Comparison of Support Vector Machine and Extreme Gradient Boosting for predicting daily global solar radiation using temperature and precipitation in humid subtropical climates: A case study in China

(2018) Junliang Fan et al.   ENERGY CONVERSION AND MANAGEMENT

Solar photovoltaic generation forecasting methods: A review

(2018) Sobrina Sobri et al.   ENERGY CONVERSION AND MANAGEMENT

A new solar power output prediction based on hybrid forecast engine and decomposition model

(2018) Weijiang Zhang et al.   ISA TRANSACTIONS

Forecasting daily global solar irradiance generation using machine learning

(2018) Amandeep Sharma et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Intermittent and stochastic character of renewable energy sources: Consequences, cost of intermittence and benefit of forecasting

(2018) Gilles Notton et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Forecasting of photovoltaic power generation and model optimization: A review

(2018) Utpal Kumar Das et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Review on probabilistic forecasting of photovoltaic power production and electricity consumption

(2018) D.W. van der Meer et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

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

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

Predicting solar energy generation through artificial neural networks using weather forecasts for microgrid control

(2018) Fermín Rodríguez et al.   RENEWABLE ENERGY

Operational photovoltaics power forecasting using seasonal time series ensemble

(2018) Dazhi Yang et al.   SOLAR ENERGY

Analysis of differencing and decomposition preprocessing methods for wind speed prediction

(2018) Neeraj Bokde et al.   APPLIED SOFT COMPUTING

Tree-based ensemble methods for predicting PV power generation and their comparison with support vector regression

(2018) Muhammad Waseem Ahmad et al.   ENERGY

Photovoltaic Power Forecasting Based on EEMD and a Variable-Weight Combination Forecasting Model

(2018) Hui Wang et al.   Sustainability

Using Smart Persistence and Random Forests to Predict Photovoltaic Energy Production

(2018) Javier Huertas Tato et al.   Energies

A current perspective on the accuracy of incoming solar energy forecasting

(2018) Robert Blaga et al.   PROGRESS IN ENERGY AND COMBUSTION SCIENCE

Generative adversarial networks and convolutional neural networks based weather classification model for day ahead short-term photovoltaic power forecasting

(2018) Fei Wang et al.   ENERGY CONVERSION AND MANAGEMENT

Designing a multi-stage multivariate empirical mode decomposition coupled with ant colony optimization and random forest model to forecast monthly solar radiation

(2018) Ramendra Prasad et al.   APPLIED ENERGY

SVR-Based Model to Forecast PV Power Generation under Different Weather Conditions

(2017) Utpal Das et al.   Energies

Hourly forecasting of global solar radiation based on multiscale decomposition methods: A hybrid approach

(2017) Stéphanie Monjoly et al.   ENERGY

Markov chain Monte Carlo and acceptance–rejection algorithms for synthesising short-term variations in the generation output of the photovoltaic system

(2017) Insu Kim   IET Renewable Power Generation

Short-term ensemble forecast for purchased photovoltaic generation

(2017) Hisashi Takeda   SOLAR ENERGY

Multi-site solar power forecasting using gradient boosted regression trees

(2017) Caroline Persson et al.   SOLAR ENERGY

A Probabilistic Competitive Ensemble Method for Short-Term Photovoltaic Power Forecasting

(2017) Antonio Bracale et al.   IEEE Transactions on Sustainable Energy

A wavelet-coupled support vector machine model for forecasting global incident solar radiation using limited meteorological dataset

(2016) Ravinesh C. Deo et al.   APPLIED ENERGY

Benefits of solar forecasting for energy imbalance markets

(2016) Amanpreet Kaur et al.   RENEWABLE ENERGY

Effects of changing spectral radiation distribution on the performance of photodiode pyranometers

(2016) Frank Vignola et al.   SOLAR ENERGY

Probabilistic forecasting of the solar irradiance with recursive ARMA and GARCH models

(2016) M. David et al.   SOLAR ENERGY

On recent advances in PV output power forecast

(2016) Muhammad Qamar Raza et al.   SOLAR ENERGY

A Power Prediction Method for Photovoltaic Power Plant Based on Wavelet Decomposition and Artificial Neural Networks

(2015) Honglu Zhu et al.   Energies

Error analysis of hybrid photovoltaic power forecasting models: A case study of mediterranean climate

(2015) Maria Grazia De Giorgi et al.   ENERGY CONVERSION AND MANAGEMENT

Comparison of four Adaboost algorithm based artificial neural networks in wind speed predictions

(2015) Hui Liu et al.   ENERGY CONVERSION AND MANAGEMENT

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

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

Increasing the temporal resolution of direct normal solar irradiance series in different climatic zones

(2015) Carlos M. Fernández-Peruchena et al.   SOLAR ENERGY

Review of solar irradiance forecasting methods and a proposition for small-scale insular grids

(2013) Maimouna Diagne et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Online 24-h solar power forecasting based on weather type classification using artificial neural network

(2011) Changsong Chen et al.   SOLAR ENERGY