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New Insights Into Crustal Deformation of the Indonesia–Australia–New Guinea Collision Zone From a Broad‐Scale Kinematic Model
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Analysis for the prediction of solar and wind generation in India using ARIMA, linear regression and random forest algorithms
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
Multi-step-ahead prediction of river flow using NARX neural networks and deep learning LSTM
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
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
A novel recurrent neural network approach in forecasting short term solar irradiance
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
Design and implementation of fault tolerant fractional order controllers for the output power of self-excited induction generator
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
Ola E. Hassan and Ahmed K. Abdelsalam 88 (2020) https://doi.org/10.1109/ICCTA52020.2020.9477679
Application of nonlinear autoregressive neural network to estimation of global solar radiation over Nigeria
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 long-term load forecasting techniques applied to Tunisian grid case