NCBI PubMed Central
open access
Adaptive primal-dual Q-learning for electric vehicle route optimization on real-world charging networks.
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
- Optimal Control Strategies for a Network of Electric Vehicle Charging Energy Hubs with Smart Scheduling via Distributed Optimization#1123314
- A Quantum Optimization Algorithm for Optimal Electric Vehicle Charging Station Placement for Intercity Trips#1036525
- Distributed electricity-carbon co-optimization of hydrogen energy storage microgrids with dynamic laplace perturbation and model predictive control.#1080871
- Advances and Challenges in Vehicle Electrification#272834
- Machine learning enhanced hybrid energy storage management system for renewable integration and grid stability optimization in smart microgrids#940620
Record · ID 399822
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