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Proceedings Papers

A Wind Turbine Power Forecasting Method Based on MTGP Transfer Learning

Available to Purchase

Huaiyu Hui, Xiaomo Jiang, Huize Chen, Kexin Zhang
Proc. ASME. GT2024, Volume 13: Heat Transfer: General Interest / Additive Manufacturing Impacts on Heat Transfer; Wind Energy, V013T37A013, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-126273
https://doi.org/10.1115/GT2024-126273
View Paper titled, A Wind Turbine Power Forecasting Method Based on MTGP Transfer Learning
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Topics: Wavelets, Wind power forecasting, Wind turbines, Wind power, Uncertainty, Power grids, Reliability, Safety, Stability, Testing
Proceedings Papers

Data Analytics Methods for Wind Energy Applications

Available to Purchase

Yu Ding, Jiong Tang, Jianhua Z. Huang
Proc. ASME. GT2015, Volume 9: Oil and Gas Applications; Supercritical CO2 Power Cycles; Wind Energy, V009T46A020, June 15–19, 2015
Publisher: American Society of Mechanical Engineers
Paper No: GT2015-43286
https://doi.org/10.1115/GT2015-43286
View Paper titled, Data Analytics Methods for Wind Energy Applications
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Topics: Wind energy, Wind, Turbines, Design, Reliability, Stress, Wind power forecasting
Proceedings Papers

Operation and Simulation of Hybrid Wind and Gas Turbine Power System Employing Wind Power Forecasting

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Junrong Xia, Pan Zhao, Yiping Dai
Proc. ASME. GT2012, Volume 6: Oil and Gas Applications; Concentrating Solar Power Plants; Steam Turbines; Wind Energy, 831-838, June 11–15, 2012
Publisher: American Society of Mechanical Engineers
Paper No: GT2012-68824
https://doi.org/10.1115/GT2012-68824
View Paper titled, Operation and Simulation of Hybrid Wind and Gas Turbine Power System Employing Wind Power Forecasting
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Topics: Gas turbines, Power systems (Machinery), Simulation, Wind, Wind power forecasting, Wind farms, Hybrid power systems, Wind power, Power grids, Dynamic modeling
Proceedings Papers

A New Hybrid Method for Wind Power Forecasting Based on Wavelet Decomposition and Artificial Neural Networks

Available to Purchase

Maria Grazia De Giorgi, Marco Tarantino, Antonio Ficarella
Proc. ASME. GT2011, Volume 1: Aircraft Engine; Ceramics; Coal, Biomass and Alternative Fuels; Wind Turbine Technology, 889-900, June 6–10, 2011
Publisher: American Society of Mechanical Engineers
Paper No: GT2011-46382
https://doi.org/10.1115/GT2011-46382
View Paper titled, A New Hybrid Method for Wind Power Forecasting Based on Wavelet Decomposition and Artificial Neural Networks
Open the PDF for A New Hybrid Method for Wind Power Forecasting Based on Wavelet Decomposition and Artificial Neural Networks in another window
Topics: Artificial neural networks, Wavelets, Wind power forecasting, Errors, Weather forecasting, Energy generation, Meteorology, Statistical distributions, Thrust, Time series