| ▲ | A System of Systems for the Selection of Optimal Climate Change Decisions(ieeexplore.ieee.org) | |
| 9 points by rbanffy 15 hours ago | 4 comments | ||
| ▲ | dlcarrier 13 hours ago | parent | next [-] | |
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 9 hours ago | parent | prev | next [-] | |
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. | ||
| ▲ | mmooss 14 hours ago | parent | prev | next [-] | |
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." | ||
| ▲ | czbond 14 hours ago | parent | prev [-] | |
Very excited to dive into this, thanks for sharing. Looking to apply it at the private sector | ||