6 months internship offer:
deep learning solar irradiance forecast from short-term to long-term
|December 8th, 2020|
SoDa is looking for a candidate for a 6-month internship to forecast from short-term to long-term solar irradiance using deep learning methods.
The objectives of the internship are:
1. To use a deep learning method to improve the spatial and temporal resolution of a Numerical Weather Prediction (NWP) model.
2. To extend a GAN current method of solar prediction to other locations or to the whole Meteosat image area which requires research and test of deep learning methods.
3. To combine all the forecast methods to get the best forecast results from short term to long term.
This internship requires competencies in Python and knowledge in deep learning (LSTM, GAN).
Please send your application by email at email@example.com
9th annual solar training will take place virtually in january and february 2021
|November 5th, 2020|
Due to the sanitary circumstances, we decided to virtually hold the 9th solar training.
The sessions are organized online at a specific schedule, as described in the program.
It is possible to benefit from an early bird registration rate of 150 € up to December, 21.
release of solar radiation book by prof. lucien wald, founder of the SoDa portal
|October 23th, 2020|
We would like to congrats Prof. Lucien Wald for publishing a book providing very complete information about solar radiation.
This excellent book is relevant to read for any person interested and involved in the solar domain.
Lucien dedicated his research to meteorology, solar radiation, remote sensing, and image processing.
He is the creator of the method to estimate solar radiation data from satellite imagery and is the founder of the HelioClim solar radiation database.
He was the originator of the SoDa solar and meteorological services portal.
participation to agrivoltaics 2020 online 14-16 october, 2020
We very much appreciated attending Agrivoltaics 2020 online event.
Agrivoltaism is a combination of agriculture and electricity production from solar panels on the same land.
It is relevant for the photovoltaic development and the protection of agricultural lands from drought or frost events.
It was a great opportunity to introduce our Photosynthetically Active Radiation service, delivering historical solar radiation data used by the plants to process photosynthesis.
solar training scheduled from january 25 to 29, 2021
The annual solar training that we co-organise with the research center O.I.E from Mines ParisTech is scheduled from January 25 to 29, 2021.
It is the perfect occasion to discover the science related to surface solar radiation, ground sensors, satellite imagery, solar mapping, solar variability and forecast and the solar data processing.
Please contact Dr Mathilde Marchand to save your seat!
global horizontal irradiation anomaly maps over france
This service is useful to get to know if last month's solar trend was rising or decreasing in comparison to the long-term period.
⇒ Last month's anomaly map is delivered every month by Marion from SoDa team.
Do not hesitate to contact us if you are interested in anomaly map with your variables of interest (solar radiation, ultraviolet, weather) and over the region of your choice.
job offer: r&d engineer in computer science
SoDa team is looking for an engineer in computer science in Sophia Antipolis, France. The job offer is available here.
Please apply by email.
IN SUN WE TRUST solar rooftop simulator IS NOW covering all france
SoDa team is very happy to introduce you to In Sun We Trust solar cadastre which covers now all roofs in France. This achievement is the result of several years of work and calculation using our HelioClim-3 solar radiation database.
This allows a very precise estimation of the potential production of photovoltaic panels in any rooftop, calculated from 15 years of irradiation data, and considering all the effects of local shading (of buildings, vegetation, and relief) at a resolution of 20-25 cm.
We are very proud and thankful to In Sun We Trust for their trust and collaboration, to allowed us to participate in the establishment of this French solar cadastre.
AI SOLAR FORECAST
Our artificial intelligence solar forecast service delivering solar radiation time series for today and tomorrow is now available for all solar radiation components:
This service is based on a machine learning method called Gradient Boosting.
Solar AI forecast service uses as inputs :
You can check AI Forecast results updated in real-time over Petrolina, Brazil, and Carpentras, France here.
improvements and deliverables
The SoDa development team is working hard to deliver new features to our services:
⇒ Improvement of the quality of our new solar radiation forecast service :
⇒ For the Helioclim-3 solar radiation time series obtained through automatic access, you can now choose the meteo parameters that you wish in the output file.
⇒ SoDa speed of web services increased.
All the informations about these improvements are available at our release notes page.
Do not hesitate to contact us for more information about our new developments and services.