| Title |
A Hierarchical Decision-Making Strategy for the Energy Management of Smart Cities |
| ID_Doc |
40358 |
| Authors |
Carli, R; Dotoli, M; Pellegrino, R |
| Title |
A Hierarchical Decision-Making Strategy for the Energy Management of Smart Cities |
| Year |
2017 |
| Published |
Ieee Transactions On Automation Science And Engineering, 14, 2 |
| DOI |
10.1109/TASE.2016.2593101 |
| Abstract |
This paper presents a hierarchical decision-making strategy for the energy management of a smart city. The proposed decision process supports the city energy manager and local policy makers in taking energy retrofit decisions on different urban sectors by an integrated, structured, and transparent management. To this aim, in the proposed decision strategy, a bilevel programming model integrates several local decisionmaking units, each focusing on the energy retrofit optimization of a specific urban subsystem, and a central decision unit. We solve the hierarchical decision problem by a game theoretic distributed algorithm. 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 |
Bilevel programming; energy efficiency; energy management; game theory; hierarchical decision making; optimization; smart city |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI) |
| EID |
WOS:000399347500011 |
| WoS Category |
Automation & Control Systems |
| Research Area |
Automation & Control Systems |
| PDF |
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