Articles citing this article

The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).

Cited article:

A Parallel Prediction Model for Photovoltaic Power Using Multi-Level Attention and Similar Day Clustering

Jinming Gao, Xianlong Su, Changsu Kim, Kerang Cao and Hoekyung Jung
Energies 17 (16) 3958 (2024)
https://doi.org/10.3390/en17163958

Short-Term Wind Speed Forecasting Using Nonlinear Autoregressive Neural Network: A Case Study in Kocaeli-Türkiye

Maysa Gidom, Abdullah H. Kökçam and Yılmaz Uyaroğlu
Electric Power Components and Systems 52 (3) 381 (2024)
https://doi.org/10.1080/15325008.2023.2220688

Analysis for the prediction of solar and wind generation in India using ARIMA, linear regression and random forest algorithms

Brajlata Chauhan, Rashida Tabassum, Sanjiv Tomar and Amrindra Pal
Wind Engineering 47 (2) 251 (2023)
https://doi.org/10.1177/0309524X221126742

A comprehensive study and performance analysis of deep neural network-based approaches in wind time-series forecasting

Md. Mijanur Rahman, Mohammad Shakeri, Fatema Khatun, et al.
Journal of Reliable Intelligent Environments 9 (2) 183 (2023)
https://doi.org/10.1007/s40860-021-00166-x

Short-Term Load Monitoring of a Power System Based on Neural Network

Di Yang and Nagamalai Vasimalai
International Transactions on Electrical Energy Systems 2023 1 (2023)
https://doi.org/10.1155/2023/4581408

New Insights Into Crustal Deformation of the Indonesia–Australia–New Guinea Collision Zone From a Broad‐Scale Kinematic Model

Siyuan Zhao, Simon McClusky, Phil R. Cummins, Meghan S. Miller and Hendro Nugroho
Journal of Geophysical Research: Solid Earth 128 (2) (2023)
https://doi.org/10.1029/2022JB024810

TÜRKİYE LİMANLARINDAKİ KONTEYNER VE YÜK ELLEÇLEME HACİMLERİNİN YSA NARX MODELİ İLE ÖNGÖRÜLMESİ

Gamze KILINÇ, Meltem KARAATLI and Nuri ÖMÜRBEK
Verimlilik Dergisi (2) 251 (2022)
https://doi.org/10.51551/verimlilik.896525

Multi-step-ahead prediction of river flow using NARX neural networks and deep learning LSTM

Gasim Hayder, Mahmud Iwan Solihin and M. R. N. Najwa
H2Open Journal 5 (1) 43 (2022)
https://doi.org/10.2166/h2oj.2022.134

Design of a Hybrid Method Exploiting Different Insolation States for Solar Radiation Forecasting

Fatma EHMEİND MAHAM and Emre AKARSLAN
Afyon Kocatepe University Journal of Sciences and Engineering 22 (3) 588 (2022)
https://doi.org/10.35414/akufemubid.1074290

State-Of-The-Art Solar Energy Forecasting Approaches: Critical Potentials and Challenges

Haoyin Ye, Bo Yang, Yiming Han and Nuo Chen
Frontiers in Energy Research 10 (2022)
https://doi.org/10.3389/fenrg.2022.875790

Machine learning-based simplified methods using shorter wind measuring masts for the time ahead wind forecasting at higher altitude for wind energy applications

Valsaraj P., Drisya Alex Thumba and Satheesh Kumar
Renewable Energy and Environmental Sustainability 7 24 (2022)
https://doi.org/10.1051/rees/2022012

Systematic Review on Impact of Different Irradiance Forecasting Techniques for Solar Energy Prediction

Konduru Sudharshan, C. Naveen, Pradeep Vishnuram, Damodhara Venkata Siva Krishna Rao Kasagani and Benedetto Nastasi
Energies 15 (17) 6267 (2022)
https://doi.org/10.3390/en15176267

Robust Differentiator-Based NeuroFuzzy Sliding Mode Control Strategies for PMSG-WECS

Malak Adnan Khan, Qudrat Khan, Laiq Khan, Imran Khan, Ahmad Aziz Alahmadi and Nasim Ullah
Energies 15 (19) 7039 (2022)
https://doi.org/10.3390/en15197039

Comparative models for multi-step ahead wind speed forecasting applied for expected wind turbine power output prediction

Germaine Djuidje Kenmoé, Hervice Roméo Fogno Fotso and Claude Vidal Aloyem Kazé
Wind Engineering 46 (3) 780 (2022)
https://doi.org/10.1177/0309524X211052015

Wind Speed and Solar Irradiance Prediction Using a Bidirectional Long Short-Term Memory Model Based on Neural Networks

Fahad Radhi Alharbi and Denes Csala
Energies 14 (20) 6501 (2021)
https://doi.org/10.3390/en14206501

Multistep short-term wind speed prediction using nonlinear auto-regressive neural network with exogenous variable selection

Fuad Noman, Gamal Alkawsi, Ammar Ahmed Alkahtani, et al.
Alexandria Engineering Journal 60 (1) 1221 (2021)
https://doi.org/10.1016/j.aej.2020.10.045

A data-driven approach to simultaneous fault detection and diagnosis in data centers

Sahar Asgari, Rohit Gupta, Ishwar K. Puri and Rong Zheng
Applied Soft Computing 110 107638 (2021)
https://doi.org/10.1016/j.asoc.2021.107638

Solar power plant generation forecasting using NARX neural network model: A case study

Obed NKURIYINGOMA and Saltuk Buğra SELÇUKLU
International Journal of Energy Applications and Technologies 8 (3) 80 (2021)
https://doi.org/10.31593/ijeat.870088

Holistic thermal-aware workload management and infrastructure control for heterogeneous data centers using machine learning

SeyedMorteza MirhoseiniNejad, Ghada Badawy and Douglas G. Down
Future Generation Computer Systems 118 208 (2021)
https://doi.org/10.1016/j.future.2021.01.007

Adaptive co-optimization of artificial neural networks using evolutionary algorithm for global radiation forecasting

Fatih Kılıç, İbrahim Halil Yılmaz and Özge Kaya
Renewable Energy 171 176 (2021)
https://doi.org/10.1016/j.renene.2021.02.074

Design and implementation of fault tolerant fractional order controllers for the output power of self-excited induction generator

Haris Calgan and Metin Demirtas
Electrical Engineering 103 (5) 2373 (2021)
https://doi.org/10.1007/s00202-021-01242-4

New method for wind potential prediction using recurrent artificial neural networks

Yousra Amellas, Saif Serag, Fahd Loukdache, et al.
E3S Web of Conferences 319 01111 (2021)
https://doi.org/10.1051/e3sconf/202131901111

Sensor Fusion with NARX Neural Network to Predict the Mass Flow in a Sugarcane Harvester

Jeovano de Jesus Alves de Lima, Leonardo Felipe Maldaner and José Paulo Molin
Sensors 21 (13) 4530 (2021)
https://doi.org/10.3390/s21134530

Computational Intelligence and Soft Computing Applications in Healthcare Management Science

Melih Yucesan, Suleyman Mete, Faruk Serin, Erkan Celik and Muhammet Gul
Advances in Healthcare Information Systems and Administration, Computational Intelligence and Soft Computing Applications in Healthcare Management Science 1 (2020)
https://doi.org/10.4018/978-1-7998-2581-4.ch001

Application of nonlinear autoregressive neural network to estimation of global solar radiation over Nigeria

Olusola Samuel Ojo and Babatunde Adeyemi
Journal of Advances in Science and Engineering 3 (2) (2020)
https://doi.org/10.37121/jase.v3i2.98

Day-Ahead Solar Irradiation Forecasting Utilizing Gramian Angular Field and Convolutional Long Short-Term Memory

Ying-Yi Hong, John Joel F. Martinez and Arnel C. Fajardo
IEEE Access 8 18741 (2020)
https://doi.org/10.1109/ACCESS.2020.2967900

A comparative study of long-term load forecasting techniques applied to Tunisian grid case

Sirine Essallah and Adel Khedher
Electrical Engineering 101 (4) 1235 (2019)
https://doi.org/10.1007/s00202-019-00859-w

Deep neural network-based wind speed forecasting and fatigue analysis of a large composite wind turbine blade

Pravin A Kulkarni, Ashwinkumar S Dhoble and Pramod M Padole
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 233 (8) 2794 (2019)
https://doi.org/10.1177/0954406218797972

A Comparative Study of Activation Functions of NAR and NARX Neural Network for Long‐Term Wind Speed Forecasting in Malaysia

Rasel Sarkar, Sabariah Julai, Sazzad Hossain, Wen Tong Chong, Mahmudur Rahman and John S. Sakellariou
Mathematical Problems in Engineering 2019 (1) (2019)
https://doi.org/10.1155/2019/6403081

Recursive neural networks in hospital bed occupancy forecasting

Ekaterina Kutafina, Istvan Bechtold, Klaus Kabino and Stephan M. Jonas
BMC Medical Informatics and Decision Making 19 (1) (2019)
https://doi.org/10.1186/s12911-019-0776-1

Deep learning to predict the generation of a wind farm

J. M. Torres, R. M. Aguilar and K. V. Zuñiga-Meneses
Journal of Renewable and Sustainable Energy 10 (1) (2018)
https://doi.org/10.1063/1.4995334

Prediction of future evolution of solar cycle 24 using machine learning techniques

Sumesh Gopinath and P. R. Prince
Proceedings of the International Astronomical Union 13 (S340) 317 (2018)
https://doi.org/10.1017/S1743921318001485