Home ›
Entities
› academia
› Controlling distributed energy resources via deep reinforcement learning for load flexibility and energy efficiency
Controlling distributed energy resources via deep reinforcement learning for load flexibility and energy efficiency
Research article (Applied Energy, 2021) · cited 105× · AI/ML
CreativeWorkacademia
Press Enter · cited answer in seconds
Searching…
0 sources
Summary
Controlling distributed energy resources via deep reinforcement learning for load flexibility and energy efficiency is a scholarly article[1].
Key Facts
Controlling distributed energy resources via deep reinforcement learning for load flexibility and energy efficiency'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). Controlling distributed energy resources via deep reinforcement learning for load flexibility and energy efficiency. Retrieved May 24, 2026, from https://4ort.xyz/entity/controlling-distributed-energy-resources-via-deep-reinforcement-learning-for-load-flexibility-and-energy-efficiency
MLA“Controlling distributed energy resources via deep reinforcement learning for load flexibility and energy efficiency.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/controlling-distributed-energy-resources-via-deep-reinforcement-learning-for-load-flexibility-and-energy-efficiency.
BibTeX@misc{4ortxyz_controlling-distributed-energy-resources-via-deep-reinforcement-learning-for-load-flexibility-and-energy-efficiency_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Controlling distributed energy resources via deep reinforcement learning for load flexibility and energy efficiency}}, year = {2026}, url = {https://4ort.xyz/entity/controlling-distributed-energy-resources-via-deep-reinforcement-learning-for-load-flexibility-and-energy-efficiency}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Controlling distributed energy resources via deep reinforcement learning for load flexibility and energy efficiency — https://4ort.xyz/entity/controlling-distributed-energy-resources-via-deep-reinforcement-learning-for-load-flexibility-and-energy-efficiency (retrieved 2026-05-24)