All Outputs (2)

Modelling the spectral influence on photovoltaic device performance using the average photon energy and the depth of a water absorption band for improved forecasting (2023)
Journal Article
Daxini, R., Wilson, R., & Wu, Y. (2023). Modelling the spectral influence on photovoltaic device performance using the average photon energy and the depth of a water absorption band for improved forecasting. Energy, 284, Article 129046. https://doi.org/10.1016/j.energy.2023.129046

Accurate forecasts of solar panel performance can improve grid penetration, enable cost evaluation prior to project implementation, and improve fault detection during operation. Spectral correction functions (SCFs) used to model the influence of the... Read More about Modelling the spectral influence on photovoltaic device performance using the average photon energy and the depth of a water absorption band for improved forecasting.

Advanced multimodal fusion method for very short-term solar irradiance forecasting using sky images and meteorological data: A gate and transformer mechanism approach (2023)
Journal Article
Zhang, L., Wilson, R., Sumner, M., & Wu, Y. (2023). Advanced multimodal fusion method for very short-term solar irradiance forecasting using sky images and meteorological data: A gate and transformer mechanism approach. Renewable Energy, 216, Article 118952. https://doi.org/10.1016/j.renene.2023.118952

Cloud dynamics are the main factor influencing the intermittent variability of short-term solar irradiance, and therefore affect the solar farm output. Sky images have been widely used for short-term solar irradiance prediction with encouraging resul... Read More about Advanced multimodal fusion method for very short-term solar irradiance forecasting using sky images and meteorological data: A gate and transformer mechanism approach.