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A data-driven approach using deep learning time series prediction for forecasting power system variables

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Citation

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MLA
Kayedpour, Nezmin, et al. “A Data-Driven Approach Using Deep Learning Time Series Prediction for Forecasting Power System Variables.” IEEE 2nd International Conference on Renewable Energy and Power Engineering, 2019.
APA
Kayedpour, N., Ebneali Samani, A., De Kooning, J., Vandevelde, L., & Crevecoeur, G. (2019). A data-driven approach using deep learning time series prediction for forecasting power system variables. In IEEE 2nd International Conference on Renewable Energy and Power Engineering. Toronto, Canada.
Chicago author-date
Kayedpour, Nezmin, Arash Ebneali Samani, Jeroen De Kooning, Lieven Vandevelde, and Guillaume Crevecoeur. 2019. “A Data-Driven Approach Using Deep Learning Time Series Prediction for Forecasting Power System Variables.” In IEEE 2nd International Conference on Renewable Energy and Power Engineering. Toronto, Canada.
Chicago author-date (all authors)
Kayedpour, Nezmin, Arash Ebneali Samani, Jeroen De Kooning, Lieven Vandevelde, and Guillaume Crevecoeur. 2019. “A Data-Driven Approach Using Deep Learning Time Series Prediction for Forecasting Power System Variables.” In IEEE 2nd International Conference on Renewable Energy and Power Engineering. Toronto, Canada.
Vancouver
1.
Kayedpour N, Ebneali Samani A, De Kooning J, Vandevelde L, Crevecoeur G. A data-driven approach using deep learning time series prediction for forecasting power system variables. In: IEEE 2nd International Conference on Renewable Energy and Power Engineering. Toronto, Canada; 2019.
IEEE
[1]
N. Kayedpour, A. Ebneali Samani, J. De Kooning, L. Vandevelde, and G. Crevecoeur, “A data-driven approach using deep learning time series prediction for forecasting power system variables,” in IEEE 2nd International Conference on Renewable Energy and Power Engineering, Toronto, 2019.
@inproceedings{8634304,
  author       = {Kayedpour, Nezmin and Ebneali Samani, Arash and De Kooning, Jeroen and Vandevelde, Lieven and Crevecoeur, Guillaume},
  booktitle    = {IEEE 2nd International Conference on Renewable Energy and Power Engineering},
  language     = {eng},
  location     = {Toronto},
  pages        = {5},
  title        = {A data-driven approach using deep learning time series prediction for forecasting power system variables},
  year         = {2019},
}