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Smart Cities and Positive Energy Districts: Urban Perspectives in 2020

Name: Smart Cities and Positive Energy Districts: Urban Perspectives in 2020
Creator: Paola Clerici Maestosi
Keywords: Technology, T, 020208 electrical & electronic engineering, Positive Energy District, transition, 020302 automobile design & engineering, 02 engineering and technology, sustainable urban areas, 02020801 Electric motors/Machines, 7. Clean energy

descriptionPublicationkeyboard_double_arrow_right Article , Journal 21 Apr 2021Publisher:MDPI AGJournal:Energies, volume 14, page 2,351 (eissn: 1996-1073,

Authors: Paola Clerici Maestosi;

doi: 10.3390/en14092351

Smart Cities and Positive Energy Districts: Urban Perspectives in 2020

- Summary
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Abstract

This Special Issue of Energies “Smart Cities and Positive Energy Districts: Urban Perspectives in 2020” introduce contemporary research on Smart Cities and on Positive Energy Districts. The topic highlights the variety of research within this field: from the analysis of 61 Positive Energy Districts cases to papers illustrating the Positive Energy Districts dimension or Smart Energy Communities supporting low carbon energy transition as well as selected Smart Cities Experiences. The focus is thus given on how RD&I stakeholders and Municipalities are facing sustainable urban development challenges. An overview of Horizon Europe RD&I program on sustainable urban areas is provided.

Keywords

Technology, T, Positive Energy District, transition, sustainable urban areas

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	9
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%