transportation engineering approach for EV infrastructure management #142
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supply unit would be EVC
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IP approach |
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online optimization from Jing's slide marginnote3app://note/8CE3F75C-523C-4D91-8B72-37F43E5FDEBF |
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prescriptive approach of hierarchical Bayesian captures:
uses:
examples:CWD-- any plots from sandbox that is hier.Bayes specific? EVC reliability-- california_{tesla percent} is higher than other states and how this would affect estimation
Covid + GDP (two model of different sector - economic + epidemiology)-- https://github.com/hyunjimoon/VaccineMisinf/tree/main/plot |
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dynamic discretization alg: optimal cont time sol with discretized mtd |
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goal upstream and downstream
For upstream (predictive), I can use transportation theories to estimate the current state of EVC supply. For downstream (prescriptive), I can use IP formulation either to measure the value of information (to gather more data) or the efficiency of each action to infrastructure reliability.
For this, we should first set system reliability measure, then impute failure for each state (1). This will be constraints for
remaining problems:
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