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ROSARIO MICELI

Energy and Network Models for the Intelligent Control of Distributed Systems

  • Authors: Cipriani, G.; DI DIO, V.; Ferraris, L.; LA CASCIA, D.; Miceli, R.; PoŇ°kovic, E.; Sauba, G.
  • Publication year: 2014
  • Type: Proceedings (TIPOLOGIA NON ATTIVA)
  • OA Link: http://hdl.handle.net/10447/100109

Abstract

This paper presents detailed energy and network models for the intelligent control of a distributed system which also comprises power generation from renewables. The two models provide interactive energy monitoring, intelligent control and power demand balancing at home, block and neighbor level. Particularly, it is here described how the energy model works and also details of how it has been validated are here given. Moreover, it is shown how the energy model simulation results are transferred to the network simulation software SynerGEE, set up by GL Noble Denton Industrial Services Ltd (UK), in order to fully perform network simulations.