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Smart City Energy Management via Monitoring of Key Performance Indicators

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... 2 safe, secure, reliable, resilient, efficient, economic and sustainable electrical energy to consumers [3,4,5]. For that reason, the adoption of smart grid technologies is of utmost importance for energy efficiency in smart cities [6]. Moreover, the presence of autonomous cars makes the energy management of smart cities even more complex [7]. ...
... The huge potential of data-driven frameworks for energy management in smart cities was shown in several works so far [6,8]. In [6], the focus is on data-driven decision-making for energy management. ...
... The huge potential of data-driven frameworks for energy management in smart cities was shown in several works so far [6,8]. In [6], the focus is on data-driven decision-making for energy management. On the other side, in [8], the focus is on optimal energy distribution for adaptable consumer demand. ...
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Energy management is one of the greatest challenges in smart cities. Moreover, the presence of autonomous vehicles makes this task even more complex. In this paper, we propose a data-driven smart grid framework which aims to make smart cities energy-efficient focusing on two aspects: energy trading and autonomous vehicle charging. The framework leverages deep learning, linear optimization, semantic technology, domain-specific modelling notation, simulation and elements of relay protection. The evaluation of deep learning module together with code generation time and energy distribution cost reduction performed within the simulation environment also presented in this paper are given. According to the results, the achieved energy distribution cost reduction varies and depends from case to case. [Projects of the Serbian Ministry of Education, Science and Technological Development, Grant no. III44006 and Gran no. III47003]
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The smart grid enabled city is an emerging complex system of systems where different stakeholders will have to strive towards achieving their goals while interacting with each-other. At parts of the city such as the districts, the energy signature and efforts towards its better energy efficiency will heavily depend on the utilization of availability and optimal usage of the local resources. The latter may be very dynamic and depend on several complex conditions such as weather, prosumer behavioural patterns, business interactions etc. An emergent city-wide behaviour appears when a number of simple entities i.e. the prosumers, operate in an environment, forming more complex behaviours as a collective. In order to empower the smart grid city, several energy services capturing the common needs of all stakeholders need to be made available to them. As a result of a (potentially) common platform that offers basic energy services, rapid development of applications can be realized without the need to start from scratch. Such energy services have been identified, analysed and implemented, in the context of a wider enterprise system architecture. An insight on their functionality, usage and development challenges and experiences is provided.
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Successful adoption of Smart Grid requires technological readiness of all the players from generation plans to the end consumers. This implies many challenges, especially affecting the brownfield urban areas. A decision support platform, allowing evaluation of retrofitting options in terms of cost and performance is required to design and implement urban infrastructure upgrade measures, facilitating timely integration with modern energy systems. This paper presents the approach taken in the URB-Grade project in order to design such a system. Both methodology and overall technological approach are presented, together with description of demonstration scenarios foreseen.
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Barcelona-Energy-Agency, "Pla d'Energia, Canvi climàtic i Qualitat ambiental (PECQ)," 2011. [Online]. Available: http://www.barcelonaenergia.cat/cat/actuacions/pm eb.htm
Buildings Energy Advanced Management System (BEAMS)
  • European Project
European Project " Buildings Energy Advanced Management System (BEAMS) ", [Online]. Available: http://ict-beams.eu
Enhancing energy efficiency in public buildings: The role of local energy audit programmes
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  • F Rizzi
  • M Frey
E. Annunziata, F. Rizzi, and M. Frey, "Enhancing energy efficiency in public buildings: The role of local energy audit programmes," Energy Policy, 2014, doi:10.1016/j.enpol.2014.02.027.
Decision support tool for retrofitting a district towards district as a service
  • A Florea
  • C Postelnicu
  • J L Martinez Lastra
  • M Presser
  • T Plambech
  • M Larrañaga
  • A Colino
  • J A Contreras
  • V M Bayona Pons
A. Florea, C. Postelnicu, J. L. Martinez Lastra, M. Presser, T. Plambech, M. Larrañaga, A. Colino, J. A. Márquez Contreras, and V. M. Bayona Pons, "Decision support tool for retrofitting a district towards district as a service," Intelligent Energy Systems (IWIES), 2013 IEEE International Workshop on. pp. 70-75, 2013.