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Proceedings Papers

Wind Farm Clustering Methods for Power Forecasting

Navid Goudarzi, Dorsa Ziaei
Proc. ASME. POWER2022, ASME 2022 Power Conference, V001T07A015, July 18–19, 2022
Paper No: POWER2022-86666
DOI: https://doi.org/10.1115/POWER2022-86666
... Abstract This paper initiates the development of a hybrid model for wind farm output power forecasting based on spatiotemporal parameters of a studied site. The time-dependency of local wind patterns is addressed by developing three wind farm clustering, K-means, Agglomerative, and Density...
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Topics: Spatiotemporal phenomena, Wind farms
Proceedings Papers

Short-Term Wind Characteristics Forecasting Using Stacked LSTM Networks

Dorsa Ziaei, Navid Goudarzi
Proc. ASME. POWER2021, ASME 2021 Power Conference, V001T09A013, July 20–22, 2021
Paper No: POWER2021-65866
DOI: https://doi.org/10.1115/POWER2021-65866
... Proceedings of the ASME 2021 Power Conference POWER2021 July 20-22, 2021, Virtual, Online POWER2021-65866 SHORT-TERM WIND CHARACTERISTICS FORECASTING USING STACKED LSTM NETWORKS Dorsa Ziaei Navid Goudarzi* Department of Computer Science and Electrical Department of Mechanical Engineering...
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Topics: Renewable energy, Wind, Databases, Errors, Modeling, Ocean engineering, Offshore wind turbines, Physics, Pipelines, Time series