A two-step identification-optimization approach for climate change control
Author:
Affiliation:
1. University of Brescia,Department of Mechanical and Industrial Engineering,Brescia,Italy
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9803856/9803880/09803954.pdf?arnumber=9803954
Reference18 articles.
1. Environmental Regulation of a Global Pollution Externality in a Bilateral Trade Framework: The Case of Global Warming, China and the US
2. Towards a FAIR-DICE IAM: Combining DICE and FAIR Models ⁎ ⁎TF acknowledges support from the Daimler Benz Foundation. TF, CMK, and SRW are supported by the Australian Research Council under ARC-DP180103026.
3. A modified impulse-response representation of the global near-surface air temperature and atmospheric concentration response to carbon dioxide emissions
4. The RCP greenhouse gas concentrations and their extensions from 1765 to 2300
5. Reactive greenhouse gas scenarios: Systematic exploration of uncertainties and the role of atmospheric chemistry
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1. A Model Predictive Control Methodology to Integrate Short and Long Term Air Quality Objectives;IEEE Access;2024
2. A Receding Horizon Approach for Climate Change Control;2023 9th International Conference on Control, Decision and Information Technologies (CoDIT);2023-07-03
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