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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Cretan, A., Coutinho, C., Bratu, B. & Jardim-Goncalves, R. (2018). A Negotiation Cloud-based Solution to Support  Interoperability among Interconnected Autonomous  Microgrids. 9th IEEE-TEMS International Conference on Intelligent Systems 2018.
Exportar Referência (IEEE) 
A. G. Cretan et al.,  "A Negotiation Cloud-based Solution to Support  Interoperability among Interconnected Autonomous  Microgrids", in 9th IEEE-TEMS Int. Conf. on Intelligent Systems 2018, Funchal, 2018
Exportar BibTeX 
@misc{cretan2018_1734958134473,
	author = "Cretan, A. and Coutinho, C. and Bratu, B. and Jardim-Goncalves, R.",
	title = "A Negotiation Cloud-based Solution to Support  Interoperability among Interconnected Autonomous  Microgrids",
	year = "2018",
	url = "http://www.ieee-is2018.com/"
}
Exportar RIS 
TY  - CPAPER
TI  - A Negotiation Cloud-based Solution to Support  Interoperability among Interconnected Autonomous  Microgrids
T2  - 9th IEEE-TEMS International Conference on Intelligent Systems 2018
AU  - Cretan, A.
AU  - Coutinho, C.
AU  - Bratu, B.
AU  - Jardim-Goncalves, R.
PY  - 2018
CY  - Funchal
UR  - http://www.ieee-is2018.com/
AB  - The cooperation of multiple networked microgrids 
can be one of the best solutions for solving inconsistency between 
energy production and consumption, which is essential for a more 
sustainable  operation  for  the  manufacturing  business.  In  this 
paper, we are interested in the collaborative interactions among 
autonomous microgrids grouped into an alliance to optimise their 
energy  exchange  and  scheduling  as  well  as  ensuring  seamless 
collaboration  and  interoperability  among  their  distributed 
systems.  Each  autonomous  microgrid  schedules  its  local  power 
supply and demand, but it may decide to collaborate with other 
microgrids  within  the  alliance,  with  minimum  information 
exchange,  to  better  fulfil  customer  power  demands.  In  this 
context,  this  paper  proposes  a  cloud-based  collaborative 
framework where distributed autonomous microgrids can find an 
optimal solution by negotiating the exchange of energy in order to 
reduce the need for peak capacity avoiding the risk of blackouts 
and  brownouts.  To  illustrate  this  approach,  it  is  described  a 
negotiation  scenario  in  which  several  microgrids  are  able  to 
evaluate  and  generate  offers  via  multi-agent  communication 
protocol.
ER  -