History and trends in solar irradiance and PV power forecasting: A preliminary assessment and review using text mining
Text mining is an emerging topic that advances the review of academic literature. This paper
presents a preliminary study on how to review solar irradiance and photovoltaic (PV) power …
presents a preliminary study on how to review solar irradiance and photovoltaic (PV) power …
[HTML][HTML] Pairing ensemble numerical weather prediction with ensemble physical model chain for probabilistic photovoltaic power forecasting
Under the two-step framework of photovoltaic (PV) power forecasting, that is, forecasting first
the irradiance and then converting it to PV power, there are two chief ways in which one can …
the irradiance and then converting it to PV power, there are two chief ways in which one can …
A nonlinear autoregressive exogenous (NARX) neural network model for the prediction of the daily direct solar radiation
The solar photovoltaic (PV) energy has an important place among the renewable energy
sources. Therefore, several researchers have been interested by its modelling and its …
sources. Therefore, several researchers have been interested by its modelling and its …
Verification of deterministic solar forecasts
The field of energy forecasting has attracted many researchers from different fields (eg,
meteorology, data sciences, mechanical or electrical engineering) over the last decade …
meteorology, data sciences, mechanical or electrical engineering) over the last decade …
[HTML][HTML] Comparing global and regional downscaled NWP models for irradiance and photovoltaic power forecasting: ECMWF versus AROME
Inspecting the literature, much effort has been placed on the verification of irradiance
forecasts from numerical weather prediction (NWP) models, as such forecasts are thought to …
forecasts from numerical weather prediction (NWP) models, as such forecasts are thought to …
[HTML][HTML] Advanced multimodal fusion method for very short-term solar irradiance forecasting using sky images and meteorological data: A gate and transformer …
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 …
irradiance, and therefore affect the solar farm output. Sky images have been widely used for …
Best practices handbook for the collection and use of solar resource data for solar energy applications
As the world looks for low-carbon sources of energy, solar power stands out as the single
most abundant energy resource on Earth. Harnessing this energy is the challenge for this …
most abundant energy resource on Earth. Harnessing this energy is the challenge for this …
Worldwide validation of 8 satellite-derived and reanalysis solar radiation products: A preliminary evaluation and overall metrics for hourly data over 27 years
D Yang, JM Bright - Solar Energy, 2020 - Elsevier
Gridded solar radiation products, namely satellite-derived irradiance and reanalysis
irradiance, are key to the next-generation solar resource assessment and forecasting. Since …
irradiance, are key to the next-generation solar resource assessment and forecasting. Since …
[HTML][HTML] Omnivision forecasting: Combining satellite and sky images for improved deterministic and probabilistic intra-hour solar energy predictions
Integrating large proportions of intermittent renewable energy sources into electric grids is
challenging. A well-established approach aimed at addressing this difficulty involves the …
challenging. A well-established approach aimed at addressing this difficulty involves the …
A review of validation methodologies and statistical performance indicators for modeled solar radiation data: Towards a better bankability of solar projects
CA Gueymard - Renewable and Sustainable Energy Reviews, 2014 - Elsevier
In the context of the current rapid development of large-scale solar power projects, the
accuracy of the modeled radiation datasets regularly used by many different interest groups …
accuracy of the modeled radiation datasets regularly used by many different interest groups …