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Chaotic wind power time series prediction via switching data-driven modes Ouyang TH, Huang HM, He YS, Tang ZH Renewable Energy, 145, 270, 2020 |
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Modeling for chaotic time series based on linear and nonlinear framework: Application to wind speed forecasting Jiang P, Wang B, Li HM, Lu HY Energy, 173, 468, 2019 |
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Chaotic dynamics applied in time prediction of photovoltaic production Bazine H, Mabrouki M Renewable Energy, 136, 1255, 2019 |
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Uncertainty modeling for chaotic time series based on optimal multi-input multi-output architecture: Application to offshore wind speed Niu T, Wang JZ, Lu HY, Du P Energy Conversion and Management, 156, 597, 2018 |
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A new wind speed forecasting strategy based on the chaotic time series modelling technique and the Apriori algorithm Guo ZH, Chi DZ, Wu J, Zhang WY Energy Conversion and Management, 84, 140, 2014 |
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Modelling and control of chaotic processes through their Bifurcation Diagrams generated with the help of Recurrent Neural Network models: Part 1 - simulation studies Krishnaiah J, Kumar CS, Faruqi MA Journal of Process Control, 16(1), 53, 2006 |
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Modelling and control of chaotic processes through their bifurcation diagrams generated with the help of recurrent neural network models. Part 2: An industrial study Krishnaiah J, Kumar CS, Faruqi MA Journal of Process Control, 16(1), 67, 2006 |
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Characterizations of flow regime transitions in a high-pressure bubble column by chaotic time series analysis of pressure fluctuation signals Lin TJ, Juang RC, Chen CC Chemical Engineering Science, 56(21-22), 6241, 2001 |
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