| Title |
Using a Hybrid Approach to Optimize Consumption Energy of Building and Increase Occupants' Comfort Level in Smart City |
| ID_Doc |
42424 |
| Authors |
Lejdel, B; Kazar, O |
| Title |
Using a Hybrid Approach to Optimize Consumption Energy of Building and Increase Occupants' Comfort Level in Smart City |
| Year |
2018 |
| Published |
|
| DOI |
10.1007/978-3-319-73192-6_8 |
| Abstract |
Energy consumption in city is increasing because the number of population is increasing. Also, this energy consumption differs according to the weather data, inhabitants of buildings and type of building; commercial, residential or administrative. Whereas, the citizen needs to have a compromise between the energy consumption, the economic cost, the comfort and the environmental impact of the building. In this paper, we will propose a smart model which permits to manage, control and regulate the consumption of energy according to some criteria. Thus, this model allows figuring, regulating, optimizing energy consumption and satisfying the occupants' comfort in real time. Thus the citizen does not need to read electricity metrics or wait the billing period to know its energy consumption. Also, this approach allows saving the energy resources and increasing the system productivity even in peak demand hour. |
| Author Keywords |
Energy consumption; Multi-agent system; Genetic algorithm; Peak demand hour; HVAC-L system |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Book Citation Index – Science (BKCI-S) |
| EID |
WOS:000441054000009 |
| WoS Category |
Computer Science, Artificial Intelligence; Green & Sustainable Science & Technology; Energy & Fuels |
| Research Area |
Computer Science; Science & Technology - Other Topics; Energy & Fuels |
| PDF |
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