Home ›
Entities
› academia
› Optimal Charging Control of Energy Storage Systems for Pulse Power Load Using Deep Reinforcement Learning in Shipboard Integrated Power Systems
Optimal Charging Control of Energy Storage Systems for Pulse Power Load Using Deep Reinforcement Learning in Shipboard Integrated Power Systems
Research article (IEEE Transactions on Industrial Informatics, 2022) · cited 18× · AI/ML
Optimal Charging Control of Energy Storage Systems for Pulse Power Load Using Deep Reinforcement Learning in Shipboard Integrated Power Systems
Summary
Optimal Charging Control of Energy Storage Systems for Pulse Power Load Using Deep Reinforcement Learning in Shipboard Integrated Power Systems is a scholarly article[1].
Key Facts
Optimal Charging Control of Energy Storage Systems for Pulse Power Load Using Deep Reinforcement Learning in Shipboard Integrated Power Systems'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). Optimal Charging Control of Energy Storage Systems for Pulse Power Load Using Deep Reinforcement Learning in Shipboard Integrated Power Systems. Retrieved May 24, 2026, from https://4ort.xyz/entity/optimal-charging-control-of-energy-storage-systems-for-pulse-power-load-using-deep-reinforcement-learning-in-shipboard-i
MLA“Optimal Charging Control of Energy Storage Systems for Pulse Power Load Using Deep Reinforcement Learning in Shipboard Integrated Power Systems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/optimal-charging-control-of-energy-storage-systems-for-pulse-power-load-using-deep-reinforcement-learning-in-shipboard-i.
BibTeX@misc{4ortxyz_optimal-charging-control-of-energy-storage-systems-for-pulse-power-load-using-deep-reinforcement-learning-in-shipboard-i_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Optimal Charging Control of Energy Storage Systems for Pulse Power Load Using Deep Reinforcement Learning in Shipboard Integrated Power Systems}}, year = {2026}, url = {https://4ort.xyz/entity/optimal-charging-control-of-energy-storage-systems-for-pulse-power-load-using-deep-reinforcement-learning-in-shipboard-i}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Optimal Charging Control of Energy Storage Systems for Pulse Power Load Using Deep Reinforcement Learning in Shipboard Integrated Power Systems — https://4ort.xyz/entity/optimal-charging-control-of-energy-storage-systems-for-pulse-power-load-using-deep-reinforcement-learning-in-shipboard-i (retrieved 2026-05-24)