An optimal control model for adaptive auto-insurance pricing learns claim risks from telematics, captures multi-period driver responses to discounts, and applies Lagrangian relaxation to achieve asymptotically optimal portfolio-wide discount allocation.
Computability of global solutions to factorable nonconvex programs: Part i—convex underestimating problems,
2 Pith papers cite this work. Polarity classification is still indexing.
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A new MILP formulation for multi-region battery arbitrage using disjunctive linearization shows over 40% revenue gains versus single-market operation in eight years of Belgian-UK price data.
citing papers explorer
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Prescriptive Optimization for Adaptive Auto-insurance Pricing with Telematics Data
An optimal control model for adaptive auto-insurance pricing learns claim risks from telematics, captures multi-period driver responses to discounts, and applies Lagrangian relaxation to achieve asymptotically optimal portfolio-wide discount allocation.
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Multi-Region Optimal Energy Storage Arbitrage
A new MILP formulation for multi-region battery arbitrage using disjunctive linearization shows over 40% revenue gains versus single-market operation in eight years of Belgian-UK price data.