4.7 Article

A deep learning based hybrid method for hourly solar radiation forecasting

Related references

Note: Only part of the references are listed.
Article Green & Sustainable Science & Technology

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

Pratima Kumari et al.

Summary: A new ensemble model, XGBF-DNN, is proposed for hourly global horizontal irradiance forecast, integrating extreme gradient boosting forest and deep neural networks with ridge regression. The model shows stability and high prediction accuracy across various climatic conditions, making it suitable for solar energy system design and planning.

JOURNAL OF CLEANER PRODUCTION (2021)

Article Energy & Fuels

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

Zakria Qadir et al.

Summary: In the current study, different machine learning models are compared to estimate power and energy of hybrid photovoltaic (PV)-wind renewable energy systems using seven weather factors. The results suggest that opting feature selection technique using linear regression model outperforms all the other models in all evaluation metrics having to mean squared error (MSE) of 0.000000104, mean absolute error (MAE) of 0.00083, R-2 of 99.6%, and computation time of 0.02 s. This sustainable computational scheme has vast potential to enhance smart grids efficiency by predicting the energy produced by renewable energy systems.

ENERGY REPORTS (2021)

Article Engineering, Electrical & Electronic

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

Yifei Wang et al.

IEEE TRANSACTIONS ON SMART GRID (2020)

Article Computer Science, Artificial Intelligence

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

Dongxiao Niu et al.

APPLIED SOFT COMPUTING (2020)

Article Computer Science, Information Systems

Short-Term Solar Irradiance Forecasting Based on a Hybrid Deep Learning Methodology

Ke Yan et al.

INFORMATION (2020)

Article Automation & Control Systems

Data-Driven Short-Term Solar Irradiance Forecasting Based on Information of Neighboring Sites

Chao Huang et al.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2019)

Review Green & Sustainable Science & Technology

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

Dazhi Yang

JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY (2019)

Article Green & Sustainable Science & Technology

Unsupervised Clustering-Based Short-Term Solar Forecasting

Cong Feng et al.

IEEE TRANSACTIONS ON SUSTAINABLE ENERGY (2019)

Article Computer Science, Information Systems

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

Chun Sing La et al.

INFORMATION SCIENCES (2019)

Article Chemistry, Multidisciplinary

Solar PV output prediction from video streams using convolutional neural networks

Yuchi Sun et al.

ENERGY & ENVIRONMENTAL SCIENCE (2018)

Review Engineering, Multidisciplinary

Computational intelligence approach for modeling hydrogen production: a review

Sina Faizollahzadeh Ardabili et al.

ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS (2018)

Article Engineering, Multidisciplinary

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

Farnaz Fotovatikhah et al.

ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS (2018)

Article Computer Science, Artificial Intelligence

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

Sijie Song et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2018)

Article Engineering, Electrical & Electronic

Resilience-Constrained Hourly Unit Commitment in Electricity Grids

Yifei Wang et al.

IEEE TRANSACTIONS ON POWER SYSTEMS (2018)

Review Green & Sustainable Science & Technology

The National Solar Radiation Data Base (NSRDB)

Manajit Sengupta et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2018)

Review Green & Sustainable Science & Technology

Feature selection in machine learning prediction systems for renewable energy applications

S. Salcedo-Sanz et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2018)

Article Green & Sustainable Science & Technology

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

Fermin Rodriguez et al.

RENEWABLE ENERGY (2018)

Article Automation & Control Systems

Daily Clearness Index Profiles Cluster Analysis for Photovoltaic System

Chun Sing Lai et al.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2017)

Review Green & Sustainable Science & Technology

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

Chun Sing Lai et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2017)

Article Green & Sustainable Science & Technology

Solar Irradiance Forecasting in Remote Microgrids Using Markov Switching Model

Ayush Shakya et al.

IEEE TRANSACTIONS ON SUSTAINABLE ENERGY (2017)

Article Green & Sustainable Science & Technology

Potential assessment of a parabolic trough solar thermal power plant considering hourly analysis: ANN-based approach

T. E. Boukelia et al.

RENEWABLE ENERGY (2017)

Article Thermodynamics

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

Huaiwei Sun et al.

ENERGY CONVERSION AND MANAGEMENT (2016)

Article Computer Science, Artificial Intelligence

Localized generalization error model and its application to architecture selection for radial basis function neural network

Daniel S. Yeung et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS (2007)