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Newsletter #3

NEWSLETTER

Newsletter #3

We are thrilled to extend our warm invitation to you for the upcoming AI4PV final event focused on showcasing the groundbreaking solutions developed in the field of AI for PV parks. This event aims to explore the vital intersection between solar energy and artificial intelligence, illustrating how this powerful combination can revolutionize the reliability and efficiency of solar power plants. 

Solar energy has emerged as a transformative force in the global energy landscape, offering a sustainable and renewable alternative to traditional fossil fuel-based power generation. As we strive to address the challenges of climate change and create a greener future, solar power has proven to be a key component of the clean energy transition.However, harnessing the full potential of solar energy is not without its complexities. 

Solar power plants operate in dynamic environments, where factors such as weather patterns, shading, and equipment performance can significantly impact their output. Ensuring the reliable and optimal performance of these power plants is of utmost importance for maximizing energy production and reducing costs.This is where artificial intelligence steps in as a game-changer. 

By leveraging the power of AI, we can unlock valuable insights from vast amounts of data, enabling us to optimize the design, monitoring, and maintenance of solar power plants. AI algorithms can analyze real-time data streams, weather patterns, historical performance data, and other relevant parameters to predict potential issues, identify inefficiencies, and optimize system performance.

AI4PV consortium will hold a final event on Wednesday, June 28 at 16 (CET), to showcase the AI and Digital Twin solutions developed within the project, to enhance the O&M of PV parks. 

The event is free and online and registration can be made at: https://lnkd.in/dZxajE6p


๐๐‘๐„๐’๐„๐๐“๐€๐“๐ˆ๐Ž๐ 

1) ๐ƒ๐ข๐š๐ ๐ง๐จ๐ฌ๐ข๐ง๐  ๐ˆ๐ฌ๐ฌ๐ฎ๐ž๐ฌ ๐ข๐ง ๐‹๐š๐ซ๐ ๐ž๐’๐œ๐š๐ฅ๐ž ๐๐ก๐จ๐ญ๐จ๐ฏ๐จ๐ฅ๐ญ๐š๐ข๐œ ๐๐ฅ๐š๐ง๐ญ๐ฌ ๐”๐ฌ๐ข๐ง๐  ๐€๐ˆ ๐š๐ง๐ ๐ƒ๐ข๐ ๐ข๐ญ๐š๐ฅ ๐“๐ฐ๐ข๐ง ๐“๐ž๐œ๐ก๐ง๐จ๐ฅ๐จ๐ ๐ข๐ž๐ฌ –  Miguel รngel Delgado Molina (Data Analyst at ISOTROL) and Jose Garcia Franquelo (Innovation and Technology Director at ISOTROL)

2) ๐€๐ง ๐ข๐ง๐ญ๐ซ๐จ๐๐ฎ๐œ๐ญ๐ข๐จ๐ง ๐ญ๐จ ๐๐ข๐ ๐ข๐ญ๐š๐ฅ ๐ญ๐ฐ๐ข๐ง๐ฌ ๐จ๐Ÿ ๐๐• ๐ข๐ง๐ฏ๐ž๐ซ๐ญ๐ž๐ซ๐ฌ ๐š๐ง๐ ๐ฆ๐š๐ข๐ง๐ญ๐ž๐ง๐š๐ง๐œ๐ž ๐ฉ๐จ๐ฅ๐ข๐œ๐ฒ ๐ซ๐ž๐œ๐จ๐ฆ๐ฆ๐ž๐ง๐๐š๐ญ๐ข๐จ๐ง๐ฌ โ€“ Louelson Costa (Assistant Researcher at INESCTEC) and Flรกvia Barbosa (Senior Researcher at INESCTEC)

3) ๐€๐ˆ ๐ญ๐จ ๐จ๐ฉ๐ญ๐ข๐ฆ๐ข๐ณ๐ž ๐๐• ๐œ๐ฅ๐ž๐š๐ง๐ข๐ง๐  ๐ฌ๐œ๐ก๐ž๐๐ฎ๐ฅ๐ž – Christian Verrecchia (R&D Engineer at EDP NEW)

This website has been developed with the support of the ERDF - European Regional Development Fund - through the Operational Programme for Competitiveness and Internationalisation COMPETE 2020 under the Portugal 2020 Partnership Agreement within project AI4PV, with reference POCI-01-0247-FEDER-111936.

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