DocumentCode
3392777
Title
A dashboard and decision support tool for the energy governance of smart cities
Author
Carli, Raffaele ; Albino, Vito ; Dotoli, Mariagrazia ; Mummolo, Giovanni ; Savino, Mario
Author_Institution
Dept. of Electr. & Inf. Eng., Politec. di Bari, Bari, Italy
fYear
2015
fDate
9-10 July 2015
Firstpage
23
Lastpage
28
Abstract
The paper addresses the findings of the research activities conducted in the framework of the RES NOVAE project for the design and development of the Urban Control Center (UCC), a control room of the smart city that allows the Public Administration to analyze the city dynamics and citizens to receive information on the performance of urban infrastructure and services. With a specific focus on energy efficiency and environmental sustainability, we present the architecture of an innovative dashboard and decision support tool for efficient urban governance. We investigate solutions to effectively measure the city energy performance and proficiently support the decision maker in determining the optimal action plan for implementing smartness strategies in the city energy governance.
Keywords
decision support systems; energy conservation; environmental factors; public administration; smart cities; sustainable development; RES NOVAE project; dashboard support tool; decision support tool; energy efficiency; environmental sustainability; public administration; smart city control room; smart city energy governance; urban control center design; urban control center development; urban infrastructure performance; urban services; Cities and towns; Decision making; Energy efficiency; Monitoring; Optimization; Smart cities; decision support system; energy efficiency; indicators dashboard; information and communication technologies; management; monitoring; multi-attribute analysis; multi-objective optimization; optimization; smart cities;
fLanguage
English
Publisher
ieee
Conference_Titel
Environmental, Energy and Structural Monitoring Systems (EESMS), 2015 IEEE Workshop on
Conference_Location
Trento
Print_ISBN
978-1-4799-8214-1
Type
conf
DOI
10.1109/EESMS.2015.7175846
Filename
7175846
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