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The publication can be exported in the following formats: APA (American Psychological Association) reference format, IEEE (Institute of Electrical and Electronics Engineers) reference format, BibTeX and RIS.

Export Reference (APA) 
Coutinho, C., Rodrigues, R. & Silva, M. (2025). Community Energy Balancing. In Leonor Marques Mano Domingos, Maria José Sousa (Ed.), Swarm Intelligence Applications for the Cities of the Future. (pp. 133-147).: CRC Press Taylor & Francis.
Export Reference (IEEE) 
C. E. Coutinho et al.,  "Community Energy Balancing", in Swarm Intelligence Applications for the Cities of the Future, Leonor Marques Mano Domingos, Maria José Sousa, Ed., CRC Press Taylor & Francis, 2025, pp. 133-147
Export BibTeX 
@incollection{coutinho2025_1771865266591,
	author = "Coutinho, C. and Rodrigues, R. and Silva, M.",
	title = "Community Energy Balancing",
	chapter = "",
	booktitle = "Swarm Intelligence Applications for the Cities of the Future",
	year = "2025",
	volume = "",
	series = "",
	edition = "",
	pages = "133-133",
	publisher = "CRC Press Taylor & Francis",
	address = "",
	url = "https://www.routledge.com/Swarm-Intelligence-Applications-for-the-Cities-of-the-Future/ManoDomingos-JoseSousa/p/book/9781032656755"
}
Export RIS 
TY  - CHAP
TI  - Community Energy Balancing
T2  - Swarm Intelligence Applications for the Cities of the Future
AU  - Coutinho, C.
AU  - Rodrigues, R.
AU  - Silva, M.
PY  - 2025
SP  - 133-147
DO  - 10.1201/9781032656786-8
UR  - https://www.routledge.com/Swarm-Intelligence-Applications-for-the-Cities-of-the-Future/ManoDomingos-JoseSousa/p/book/9781032656755
AB  - This chapter informs the reader about intelligent swarms, describing a use case for swarm development focused on energy balancing within an energy community. It details the energy and communication exchanges, the proposed actors within the community, and the two-stage approach, which encompasses six scenarios to be considered. This concept follows a multi-layer edge-fog-cloud approach to facilitate the creation of energy communities, enable intra/inter-community communication, address low-voltage grid capillarity, and provide grid monitoring and node orchestration. Ultimately, it aims to improve efficiency, balance grid nodes, and increase the share of renewable energy sources. This chapter describes the approach taken in the European project TaRDIS towards supporting the development of swarm projects in these scenarios.
ER  -