Solar Forecasts Based on the Clear Sky Index or the Clearness Index: Which Is Better?

Autor: Philippe Lauret, Rodrigo Alonso-Suárez, Josselin Le Gal La Salle, Mathieu David

Publikováno v: Solar, Vol 2, Iss 4, Pp 432-444 (2022)

In the realm of solar forecasting, it is common to use a clear sky model output to deseasonalise the solar irradiance time series needed to build the forecasting models. However, most of these clear sky models require the setting of atmospheric param

Externí odkaz: https://doaj.org/article/4d170311eaee49aeba5f5bc0b6acb88b

A more efficient microgrid operation through the integration of probabilistic solar forecasts

Autor: Faly Ramahatana, Josselin Le Gal La Salle, Philippe Lauret, Mathieu David

Publikováno v: Sustainable Energy, Grids and Networks. 31:100783

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d4a32de829fd8d0fe3783d87b850b582
https://doi.org/10.1016/j.segan.2022.100783

Added-value of ensemble prediction system on the quality of solar irradiance probabilistic forecasts

Autor: Josselin Le Gal La Salle, Jordi Badosa, Mathieu David, Pierre Pinson, Philippe Lauret

Publikováno v: Le Gal La Salle, J, Badosa, J, David, M, Pinson, P & Lauret, P 2020, ' Added-value of ensemble prediction system on the quality of solar irradiance probabilistic forecasts ', Renewable Energy, vol. 162, pp. 1321-1339 . https://doi.org/10.1016/j.renene.2020.07.042
Renewable Energy
Renewable Energy, Elsevier, 2020, 162, pp.1321-1339. ⟨10.1016/j.renene.2020.07.042⟩

Accurate solar forecasts is one of the most effective solution to enhance grid operations. As the solar resource is intrinsically uncertain, a growing interest for solar probabilistic forecasts is observed in the solar research community. In this wor

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0cae82351f94b8ddf8005c9050ff454e
https://orbit.dtu.dk/en/publications/689ff58b-d26b-4cf9-9d9e-267860a9cdc0

Probabilistic Solar Forecasts Evaluation Part 2: Quantile Forecasts

Autor: Philippe Lauret, Faly Ramahatana-Andriamasomanana, Josselin Le Gal La Salle, Mathieu David

Publikováno v: ISES Solar World Congress 2019/IEA SHC International Conference on Solar Heating and Cooling for Buildings and Industry 2019
ISES Solar World Congress 2019/IEA SHC International Conference on Solar Heating and Cooling for Buildings and Industry 2019, Nov 2019, Santiago, France. pp.1-7, ⟨10.18086/swc.2019.43.04⟩

Two types of probabilistic forecasts are used in the field of solar energy forecasting. The first one takes the form of Ensemble forecasts commonly provided by meteorological utilities such as ECMWF. The second one is based on statistical methods tha

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56332553010cba7095dc4cebfecf8229
https://hal.archives-ouvertes.fr/hal-02899292/file/swc2019-0203-Lauret.pdf