Home ›
Entities
› academia
› Energy sources durability energy management for fuel cell hybrid electric bus based on deep reinforcement learning considering future terrain information
Energy sources durability energy management for fuel cell hybrid electric bus based on deep reinforcement learning considering future terrain information
Research article (International Journal of Hydrogen Energy, 2023) · cited 141× · AI/ML
Energy sources durability energy management for fuel cell hybrid electric bus based on deep reinforcement learning considering future terrain information
Summary
Energy sources durability energy management for fuel cell hybrid electric bus based on deep reinforcement learning considering future terrain information is a scholarly article[1].
Key Facts
Energy sources durability energy management for fuel cell hybrid electric bus based on deep reinforcement learning considering future terrain information's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Energy sources durability energy management for fuel cell hybrid electric bus based on deep reinforcement learning considering future terrain information. Retrieved May 24, 2026, from https://4ort.xyz/entity/energy-sources-durability-energy-management-for-fuel-cell-hybrid-electric-bus-based-on-deep-reinforcement-learning-consi
MLA“Energy sources durability energy management for fuel cell hybrid electric bus based on deep reinforcement learning considering future terrain information.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/energy-sources-durability-energy-management-for-fuel-cell-hybrid-electric-bus-based-on-deep-reinforcement-learning-consi.
BibTeX@misc{4ortxyz_energy-sources-durability-energy-management-for-fuel-cell-hybrid-electric-bus-based-on-deep-reinforcement-learning-consi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Energy sources durability energy management for fuel cell hybrid electric bus based on deep reinforcement learning considering future terrain information}}, year = {2026}, url = {https://4ort.xyz/entity/energy-sources-durability-energy-management-for-fuel-cell-hybrid-electric-bus-based-on-deep-reinforcement-learning-consi}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Energy sources durability energy management for fuel cell hybrid electric bus based on deep reinforcement learning considering future terrain information — https://4ort.xyz/entity/energy-sources-durability-energy-management-for-fuel-cell-hybrid-electric-bus-based-on-deep-reinforcement-learning-consi (retrieved 2026-05-24)
