Home ›
Entities
› academia
› Cyberspace enhancement of electric vehicle charging stations in smart grids based on detection and resilience measures against hybrid cyberattacks: A multi-agent deep reinforcement learning approach
Cyberspace enhancement of electric vehicle charging stations in smart grids based on detection and resilience measures against hybrid cyberattacks: A multi-agent deep reinforcement learning approach
Research article (Energy, 2025) · cited 15× · AI/ML
Cyberspace enhancement of electric vehicle charging stations in smart grids based on detection and resilience measures against hybrid cyberattacks: A multi-agent deep reinforcement learning approach
Summary
Cyberspace enhancement of electric vehicle charging stations in smart grids based on detection and resilience measures against hybrid cyberattacks: A multi-agent deep reinforcement learning approach is a scholarly article[1].
Key Facts
Cyberspace enhancement of electric vehicle charging stations in smart grids based on detection and resilience measures against hybrid cyberattacks: A multi-agent deep reinforcement learning approach'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). Cyberspace enhancement of electric vehicle charging stations in smart grids based on detection and resilience measures against hybrid cyberattacks: A multi-agent deep reinforcement learning approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/cyberspace-enhancement-of-electric-vehicle-charging-stations-in-smart-grids-based-on-detection-and-resilience-measures-a
MLA“Cyberspace enhancement of electric vehicle charging stations in smart grids based on detection and resilience measures against hybrid cyberattacks: A multi-agent deep reinforcement learning approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/cyberspace-enhancement-of-electric-vehicle-charging-stations-in-smart-grids-based-on-detection-and-resilience-measures-a.
BibTeX@misc{4ortxyz_cyberspace-enhancement-of-electric-vehicle-charging-stations-in-smart-grids-based-on-detection-and-resilience-measures-a_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Cyberspace enhancement of electric vehicle charging stations in smart grids based on detection and resilience measures against hybrid cyberattacks: A multi-agent deep reinforcement learning approach}}, year = {2026}, url = {https://4ort.xyz/entity/cyberspace-enhancement-of-electric-vehicle-charging-stations-in-smart-grids-based-on-detection-and-resilience-measures-a}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Cyberspace enhancement of electric vehicle charging stations in smart grids based on detection and resilience measures against hybrid cyberattacks: A multi-agent deep reinforcement learning approach — https://4ort.xyz/entity/cyberspace-enhancement-of-electric-vehicle-charging-stations-in-smart-grids-based-on-detection-and-resilience-measures-a (retrieved 2026-05-24)
