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ResourcesWebinars

How to analyze complementary power sources in hybrid systems to make decisions for your future projects?

During this webinar, we introduce another benefit of using Solargis Analyst: data comparisons between different renewable energy sources, e.g. generated by wind and solar power plants.

Marta Pelfort Ojer
Marta Pelfort OjerHead of Customer Support
At Solargis, Marta leverages her expertise as an Energy Engineer, with a fervent dedication to renewable energy. She specialized in solar and wind technologies, spanning from design to operational phases. Her passion lies in data quality control, system optimization, and advancing the green energy transition for a sustainable future.
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Zeynep Celik
Zeynep Celik
Zeynep is the technical solar consultant of Solargis Americas, where she leverages her 3 years of experience in the solar field, with an educational background in physics and energy systems. She provides expertise in Solargis' products and consults clients on solar photovoltaics. She utilizes proficiency in solar assessment and resolves technical issues using specialized PV tools. Zeynep is passionate about solar energy and wants to help create a sustainable future.
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Keep reading

Easy visualization and comparison of large data streams
Webinars

Easy visualization and comparison of large data streams

How do 100.000 lines of GHI in the dataset look like? In this webinar you can learn how you can visualize multiyear datasets with various type of graphs with Solargis Analyst.

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Harmonization of different time zones and time steps
Webinars

Harmonization of different time zones and time steps

When working with different time zones, small mistakes cost a lot. Solargis Analyst can automatically detect and configure it in the dataset, so you do not need to spend hours to set up time properly.

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How meteorological factors can affect the accuracy of your ground measured data
Webinars

How meteorological factors can affect the accuracy of your ground measured data

In this webinar we cover how to evaluate the impact of the different factors that can affect the accuracy of your ground-measured data.

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