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Forecasting indoor temperature and thermal loads in office buildings using multi-phase trained NARX networks: Toward smart energy applications
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Novel Hybrid ANN-Interpolation Techniques for Predicting Mean Residence Time in Wet Twin Screw Granulation Application: A Critical Review
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Artificial neural networks estimate evapotranspiration for Miscanthus × giganteus as effectively as empirical model but with fewer inputs
Guler Rojda Aslan-Sungur, Caitlin E. Moore, Carl J. Bernacchi, Emily Heaton and Andy VanLoocke Theoretical and Applied Climatology 156(11) (2025) https://doi.org/10.1007/s00704-025-05812-5
Data-driven models of a solar field used to power membrane distillation systems: A comparison study
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
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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
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
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Comparative models for multi-step ahead wind speed forecasting applied for expected wind turbine power output prediction
A novel recurrent neural network approach in forecasting short term solar irradiance
Mustafa Jaihuni, Jayanta Kumar Basak, Fawad Khan, Frank Gyan Okyere, Thavisak Sihalath, Anil Bhujel, Jihoon Park, Deog Hyun Lee and Hyeon Tae Kim ISA Transactions 121 63 (2022) https://doi.org/10.1016/j.isatra.2021.03.043
Adaptive co-optimization of artificial neural networks using evolutionary algorithm for global radiation forecasting
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
A comparative study of long-term load forecasting techniques applied to Tunisian grid case
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
Prediction of future evolution of solar cycle 24 using machine learning techniques