Home ›
Entities
› academia
› A three-layer game theoretic-based strategy for optimal scheduling of microgrids by leveraging a dynamic demand response program designer to unlock the potential of smart buildings and electric vehicle fleets
A three-layer game theoretic-based strategy for optimal scheduling of microgrids by leveraging a dynamic demand response program designer to unlock the potential of smart buildings and electric vehicle fleets
Research article (Applied Energy, 2023) · cited 159× · AI/ML
A three-layer game theoretic-based strategy for optimal scheduling of microgrids by leveraging a dynamic demand response program designer to unlock the potential of smart buildings and electric vehicle fleets
Summary
A three-layer game theoretic-based strategy for optimal scheduling of microgrids by leveraging a dynamic demand response program designer to unlock the potential of smart buildings and electric vehicle fleets is a scholarly article[1].
Key Facts
A three-layer game theoretic-based strategy for optimal scheduling of microgrids by leveraging a dynamic demand response program designer to unlock the potential of smart buildings and electric vehicle fleets'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). A three-layer game theoretic-based strategy for optimal scheduling of microgrids by leveraging a dynamic demand response program designer to unlock the potential of smart buildings and electric vehicle fleets. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-three-layer-game-theoretic-based-strategy-for-optimal-scheduling-of-microgrids-by-leveraging-a-dynamic-demand-response
MLA“A three-layer game theoretic-based strategy for optimal scheduling of microgrids by leveraging a dynamic demand response program designer to unlock the potential of smart buildings and electric vehicle fleets.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-three-layer-game-theoretic-based-strategy-for-optimal-scheduling-of-microgrids-by-leveraging-a-dynamic-demand-response.
BibTeX@misc{4ortxyz_a-three-layer-game-theoretic-based-strategy-for-optimal-scheduling-of-microgrids-by-leveraging-a-dynamic-demand-response_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A three-layer game theoretic-based strategy for optimal scheduling of microgrids by leveraging a dynamic demand response program designer to unlock the potential of smart buildings and electric vehicle fleets}}, year = {2026}, url = {https://4ort.xyz/entity/a-three-layer-game-theoretic-based-strategy-for-optimal-scheduling-of-microgrids-by-leveraging-a-dynamic-demand-response}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A three-layer game theoretic-based strategy for optimal scheduling of microgrids by leveraging a dynamic demand response program designer to unlock the potential of smart buildings and electric vehicle fleets — https://4ort.xyz/entity/a-three-layer-game-theoretic-based-strategy-for-optimal-scheduling-of-microgrids-by-leveraging-a-dynamic-demand-response (retrieved 2026-05-24)
