arXiv (All)
open access
Carbon-Aware Electric Vehicle Routing Problem with Decision-Focused Learning
Electric vehicles produce no tailpipe emissions, but charging them produces emissions that depend on the time-varying generation mix of the electricity consumed. We study an Electric Vehicle Routing Problem with a carbon-aware objective that accounts for charging-related emissions alongside conventi
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Merging Large Language Models and Battery Physics for User-Aware Electric Vehicle Driving Management#1063261
- Have You Benefitted from Carbon Emissions? You May Be a “Morally Objectionable Free Rider”#117730
- Distributionally Robust Chance-Constrained Reinforcement Learning for Home Energy Management under Electric Vehicle Uncertainty#1399984
- Turning Carbon Into Cash? Cross‐Country Evidence on the Profitability of Emission Reductions#353687
- A systematic approach to the optimal planning of energy mix for electric vehicle policy#343588
Record · ID 1491040
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive