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
1) 𝐃𝐢𝐚𝐠𝐧𝐨𝐬𝐢𝐧𝐠 𝐈𝐬𝐬𝐮𝐞𝐬 𝐢𝐧 𝐋𝐚𝐫𝐠𝐞–𝐒𝐜𝐚𝐥𝐞 𝐏𝐡𝐨𝐭𝐨𝐯𝐨𝐥𝐭𝐚𝐢𝐜 𝐏𝐥𝐚𝐧𝐭𝐬 𝐔𝐬𝐢𝐧𝐠 𝐀𝐈 𝐚𝐧𝐝 𝐃𝐢𝐠𝐢𝐭𝐚𝐥 𝐓𝐰𝐢𝐧 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 – Miguel Ángel Delgado Molina (Data Analyst at ISOTROL) and Jose Garcia Franquelo (Innovation and Technology Director at ISOTROL)
2) 𝐀𝐧 𝐢𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐭𝐨 𝐝𝐢𝐠𝐢𝐭𝐚𝐥 𝐭𝐰𝐢𝐧𝐬 𝐨𝐟 𝐏𝐕 𝐢𝐧𝐯𝐞𝐫𝐭𝐞𝐫𝐬 𝐚𝐧𝐝 𝐦𝐚𝐢𝐧𝐭𝐞𝐧𝐚𝐧𝐜𝐞 𝐩𝐨𝐥𝐢𝐜𝐲 𝐫𝐞𝐜𝐨𝐦𝐦𝐞𝐧𝐝𝐚𝐭𝐢𝐨𝐧𝐬 – Louelson Costa (Assistant Researcher at INESCTEC) and Flávia Barbosa (Senior Researcher at INESCTEC)
3) 𝐀𝐈 𝐭𝐨 𝐨𝐩𝐭𝐢𝐦𝐢𝐳𝐞 𝐏𝐕 𝐜𝐥𝐞𝐚𝐧𝐢𝐧𝐠 𝐬𝐜𝐡𝐞𝐝𝐮𝐥𝐞 – Christian Verrecchia (R&D Engineer at EDP NEW)