Forecasting of Day-Ahead Electricity Price Using Long Short-Term Memory-Based Deep Learning Method
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
https://link.springer.com/content/pdf/10.1007/s13369-022-06632-9.pdf
Reference21 articles.
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3. Garcia, R.C.; Contreras, J.; van Akkeren, M., Garcia, J.B.C.: A Garch forecasting model to predict day-ahead electricity prices. IEEE Trans. Power Syst. 20, 867–874 (2005)
4. Cruza, A.; Munoza, A.; Zamoraa, J.L.; Espínolab, R.: The effect of wind generation and weekday on Spanish electricity spot price forecasting. Electr. Power Syst. Res. 81, 1924–1935 (2011)
5. Zhang, G.P.: Time series forecasting using a hybrid ARIMA and neural network model. Neurocomputing 50, 159–175 (2003)
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