Hourly Day-Ahead Power Forecasting for PV Plant Based on Bidirectional LSTM
Author:
Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-32-9987-0_18
Reference21 articles.
1. Voyant, C., et al.: Machine learning methods for solar radiation forecasting: a review. Renew. Energy 105, 569–582 (2017)
2. Salcedo-Sanz, S., Casanova-Mateo, C., Pastor-Sánchez, A., Sánchez-Girón, M.: Daily global solar radiation prediction based on a hybrid Coral Reefs Optimization-Extreme Learning Machine approach. Sol. Energy 105, 91–98 (2014)
3. Wang, F., Mi, Z., Su, S., Zhao, H.: Short-term solar irradiance forecasting model based on artificial neural network using statistical feature parameters. Energies 5(5), 1355–1370 (2012)
4. Leva, S., Dolara, A., Grimaccia, F., Mussetta, M., Ogliari, E.: Analysis and validation of 24 hours ahead neural network forecasting of photovoltaic output power. Math. Comput. Simul. 131, 88–100 (2017)
5. Deo, R.C., Wen, X., Qi, F.: A wavelet-coupled support vector machine model for forecasting global incident solar radiation using limited meteorological dataset. Appl. Energy 168, 568–593 (2016)
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