Corpus ID: 237571391

Hydroelectric Generation Forecasting with Long Short Term Memory (LSTM) Based Deep Learning Model for Turkey

@article{Bulut2021HydroelectricGF,
  title={Hydroelectric Generation Forecasting with Long Short Term Memory (LSTM) Based Deep Learning Model for Turkey},
  author={Mehmet Bulut},
  journal={ArXiv},
  year={2021},
  volume={abs/2109.09013}
}
  • Mehmet Bulut
  • Published 18 September 2021
  • Computer Science, Engineering
  • ArXiv
Hydroelectricity is one of the renewable energy source, has been used for many years in Turkey. The production of hydraulic power plants based on water reservoirs varies based on different parameters. For this reason, the estimation of hydraulic production gains importance in terms of the planning of electricity generation. In this article, the estimation of Turkey's monthly hydroelectricity production has been made with the long-short-term memory (LSTM) networkbased deep learning model. The… Expand

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