Publisher
Springer Nature Switzerland
Reference39 articles.
1. Ahmed, N.K., Atiya, A.F., Gayar, N.E., El-Shishiny, H.: An empirical comparison of machine learning models for time series forecasting. Economet. Rev. 29(5–6), 594–621 (2010)
2. Bou-Rabee, M., Sulaiman, S.A., Saleh, M.S., Marafi, S.: Using artificial neural networks to estimate solar radiation in Kuwait. Renew. Sustain. Energy Rev. 72, 434–438 (2017)
3. Bruce, P., Bruce, A., Gedeck, P.: Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python. O’Reilly Media (2020)
4. Chwieduk, M.: Use of solar radiation data from HelioClim database for shortterm PY system power output prediction for polish localization. Pol. Energetyka Słoneczna (2017)
5. Csereklyei, Z., Qu, S., Ancev, T.: The effect of wind and solar power generation on wholesale electricity prices in Australia. Energy Policy 131, 358–369 (2019)