Machine learning prediction of perovskite solar cell efficiency across standardized experimental data

Physically constrained neural network for solar spectral irradiance reconstruction

Jiandong Ran, Pengfei Si, Feng Ya

Accurate surface solar spectral irradiance data are indispensable for spectrally selective building envelopes and advanced photovoltaic systems, yet remain critically scarce due to the high cost of spectroradiometer networks and the stringent atmospheric parameter requirements of…Read more

Also available via: Solar Energy

Ultra-short-term solar power forecasting by deep learning and data reconstruction

Jinbao Wang, Jun Liu, Xuehui Ma, Shiliang Zhang, Chenhui Yang, Bairen An

Photovoltaic power modelling in high latitudes with empirical and machine learning models using transfer learning

Väinö Anttalainen, L. Karttunen, S. Jouttijärvi, Anders V. Lindfors, Juha A. Karhu, Hugo Huerta, et al.