Title |
Bi-Level Programming for the Strategic Energy Management of a Smart City |
ID_Doc |
36241 |
Authors |
Carli, R; Dotoli, M; Andria, G; Lanzolla, AML |
Title |
Bi-Level Programming for the Strategic Energy Management of a Smart City |
Year |
2016 |
Published |
|
DOI |
|
Abstract |
This paper addresses the emerging need for tools devoted to the strategic energy management of smart cities. We propose a novel decision model that supports the energy manager in governing the smart city while addressing different urban sectors with an integrated and structured energy retrofit planning. A bi-level programming model integrates several decision making units (decision panels), each focusing on the energy optimization of a specific urban subsystem, and a central decision unit. We solve the bi-level decision problem by a game theoretic distributed approach. We apply the developed decision model to the case study of the city of Bari (Italy), where a smart city program has recently been launched. |
Author Keywords |
smart city; energy management; energy efficiency; decision support system; distributed optimization; bi-level programming |
Index Keywords |
Index Keywords |
Document Type |
Other |
Open Access |
Open Access |
Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
EID |
WOS:000386794700017 |
WoS Category |
Automation & Control Systems; Engineering, Electrical & Electronic; Telecommunications |
Research Area |
Automation & Control Systems; Engineering; Telecommunications |
PDF |
|