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  • czbond · 2 days ago

    Very excited to dive into this, thanks for sharing. Looking to apply it at the private sector

    • mmooss · 2 days ago

      What problems does this solve? There are many models of climate change; what marginal benefit does this one provide? Also, is it being used?

      The abstract seems to focus on the technique, Model Predictive Control technique, but what dis/advantages does it have? Or maybe the novel part is the neural network.

      "... a novel system utilizing the Model Predictive Control technique (MPC) to optimize greenhouse gas emissions reductions. Through a receding horizon approach, the system dynamically adjusts carbon dioxide, methane, and other greenhouse gases emissions to maintain temperature anomalies within safe limits. The system operates in two phases: first, applying MPC to minimize temperature anomalies by optimizing emissions from 2025 to 2100; second, embedding an artificial neural network trained to capture the relationship between policy decisions and greenhouse gas emissions into an optimization process that identifies the policy set required to achieve a desired emissions pathway."

      • dlcarrier · 2 days ago

        Why is this published in IEEE? Is nature going to start publishing articles about Space–Time Modulation of a Multimode Electrically Small Antenna for Increased Matching and Efficiency Bandwidths?

        • CGMthrowaway · 2 days ago

          At first blush this seems quite a bit less ham-handed than "net zero by 2030" type of goals, so that could be a good thing.