A Comparative Study of Deep Learning Methods for Short-Term Solar Radiation Forecasting
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-4795-9_53
Reference29 articles.
1. Poudyal R, Loskot P, Nepal R, Parajuli R, Khadka SK (2019) Mitigating the current energy crisis in Nepal with renewable energy sources. Renew Sustain Energy Rev 116:109388
2. Sobri S, Koohi-Kamali S, Rahim N (2018) A Solar photovoltaic generation forecasting methods: a review. Energy Convers Manage 156:459–497
3. Li J, Ward J, Tong J, Collins L, Platt G (2016) Machine learning for solar irradiance forecasting of photovoltaic system. Renew Energy 90:542–553
4. Dong Z, Yang D, Reindl T, Walsh WM (2014) Satellite image analysis and a hybrid ESSS/ANN model to forecast solar irradiance in the tropics. Energy Convers Manage 79:66–73
5. Gao B, Huang X, Shi J, Tai Y, Zhang J (2020) Hourly forecasting of solar irradiance based on CEEMDAN and multi-strategy CNN-LSTM neural networks. Renew Energy 162:1665–1683
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