A deep learning based hybrid method for hourly solar radiation forecasting

Predicting the energy output of hybrid PV–wind renewable energy system using feature selection technique for smart grids

(2021) Zakria Qadir et al.   Energy Reports

Day-ahead photovoltaic power production forecasting methodology based on machine learning and statistical post-processing

(2020) Spyros Theocharides et al.   APPLIED ENERGY

Short-term photovoltaic power generation forecasting based on random forest feature selection and CEEMD: A case study

(2020) Dongxiao Niu et al.   APPLIED SOFT COMPUTING

Optimal Kernel ELM and Variational Mode Decomposition for Probabilistic PV Power Prediction

(2020) Xiaomei Wu et al.   Energies

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

SolarNet: A sky image-based deep convolutional neural network for intra-hour solar forecasting

(2020) Cong Feng et al.   SOLAR ENERGY

Next-Day Prediction of Hourly Solar Irradiance Using Local Weather Forecasts and LSTM Trained with Non-Local Data

(2020) Byung-ki Jeon et al.   Energies

State of the Art of Machine Learning Models in Energy Systems, a Systematic Review

(2019) Amir Mosavi et al.   Energies

A guideline to solar forecasting research practice: Reproducible, operational, probabilistic or physically-based, ensemble, and skill (ROPES)

(2019) Dazhi Yang   Journal of Renewable and Sustainable Energy

Deep solar radiation forecasting with convolutional neural network and long short-term memory network algorithms

(2019) Sujan Ghimire et al.   APPLIED ENERGY

A Regional Photovoltaic Output Prediction Method Based on Hierarchical Clustering and the mRMR Criterion

(2019) Fu et al.   Energies

Impact of Cascading and Common-Cause Outages on Resilience-Constrained Optimal Economic Operation of Power Systems

(2019) Yifei Wang et al.   IEEE Transactions on Smart Grid

An efficient neuro-evolutionary hybrid modelling mechanism for the estimation of daily global solar radiation in the Sunshine State of Australia

(2018) Sancho Salcedo-Sanz et al.   APPLIED ENERGY

Hourly day-ahead solar irradiance prediction using weather forecasts by LSTM

(2018) Xiangyun Qing et al.   ENERGY

Solar PV output prediction from video streams using convolutional neural networks

(2018) Yuchi Sun et al.   Energy & Environmental Science

Computational intelligence approach for modeling hydrogen production: a review

(2018) Sina Faizollahzadeh Ardabili et al.   Engineering Applications of Computational Fluid Mechanics

Survey of computational intelligence as basis to big flood management: challenges, research directions and future work

(2018) Farnaz Fotovatikhah et al.   Engineering Applications of Computational Fluid Mechanics

Spatio-Temporal Attention-Based LSTM Networks for 3D Action Recognition and Detection

(2018) Sijie Song et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Data-driven Short-term Solar Irradiance Forecasting Based on Information of Neighboring Sites

(2018) Chao Huang et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Resilience-Constrained Hourly Unit Commitment in Electricity Grids

(2018) Yifei Wang et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

The National Solar Radiation Data Base (NSRDB)

(2018) Manajit Sengupta et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Feature selection in machine learning prediction systems for renewable energy applications

(2018) S. Salcedo-Sanz et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

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

(2018) Fermín Rodríguez et al.   RENEWABLE ENERGY

A decomposition-clustering-ensemble learning approach for solar radiation forecasting

(2018) Shaolong Sun et al.   SOLAR ENERGY

A Solar Time-based Analog Ensemble Method for Regional Solar Power Forecasting

(2018) Xinmin Zhang et al.   IEEE Transactions on Sustainable Energy

A robust correlation analysis framework for imbalanced and dichotomous data with uncertainty

(2018) Chun Sing Lai et al.   INFORMATION SCIENCES

Unsupervised Clustering-Based Short-Term Solar Forecasting

(2018) Cong Feng et al.   IEEE Transactions on Sustainable Energy

Novel Field-Support Vector Regression-Based Soft Sensor for Accurate Estimation of Solar Irradiance

(2017) Jieming Ma et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS

Daily Clearness Index Profiles Cluster Analysis for Photovoltaic System

(2017) Chun Sing Lai et al.   IEEE Transactions on Industrial Informatics

A comprehensive review on large-scale photovoltaic system with applications of electrical energy storage

(2017) Chun Sing Lai et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Solar Irradiance Forecasting in Remote Microgrids Using Markov Switching Model

(2017) Ayush Shakya et al.   IEEE Transactions on Sustainable Energy

A hybrid method based on a new clustering technique and multilayer perceptron neural networks for hourly solar radiation forecasting

(2016) R. Azimi et al.   ENERGY CONVERSION AND MANAGEMENT

Assessing the potential of random forest method for estimating solar radiation using air pollution index

(2016) Huaiwei Sun et al.   ENERGY CONVERSION AND MANAGEMENT

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

(2016) M. David et al.   SOLAR ENERGY