Improving LSTM Neural Networks for Better Short-Term Wind Power Predictions

@article{Du2019ImprovingLN,
  title={Improving LSTM Neural Networks for Better Short-Term Wind Power Predictions},
  author={Maximilian Du},
  journal={2019 IEEE 2nd International Conference on Renewable Energy and Power Engineering (REPE)},
  year={2019},
  pages={105-109}
}
  • Maximilian Du
  • Published in
    IEEE 2nd International…
    2019
  • Mathematics, Computer Science
  • This paper improves wind power prediction via weather forecast-contextualized Long Short-Term Memory Neural Network (LSTM) models. Initially, only wind power data was fed to a generic LSTM, but this model performed poorly, with erratic and naive behavior observed on even low-variance data sections. To address this issue, weather forecast data was added to better contextualize the power data, and LSTM modifications were made to address specific model shortcomings. These models were tested… CONTINUE READING

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