Name
Abstract | ||
|---|---|---|
The integration of smart meter infrastructure helps in bidirectional coordination and is used to gather huge amount of data. It helps in forecasting the power demand and generation. This further helps the energy management units to plan and take the efficient decisions for flexible power demand. However, still there is a chance of fluctuation in consumers' power demand. It requires an efficient solution that can manage the real time scenario. In this work, a game theory based coalition system for energy management is proposed where each home is considered as a player and intensive as slack power. This slack energy will be distributed among the homes using Shapley value that evenly distribute the power according to demand. Experimental results show that 14.2kW extra power is saved and distributed among homes different home during the different spans of the day. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/AINA.2018.00125 | PROCEEDINGS 2018 IEEE 32ND INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS (AINA) |
Keywords | Field | DocType |
Coordination, Coalition, Game theory, Demand side management and Smart grid | Energy management,Smart grid,Shapley value,Computer science,Power demand,Game theory,Smart meter,Distributed computing | Conference |
ISSN | Citations | PageRank |
1550-445X | 2 | 0.45 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Adia Khalid | 1 | 14 | 8.14 |
| Nadeem Javaid | 2 | 1043 | 222.46 |
| Abdul Mateen | 3 | 19 | 5.79 |
| Muhammad Hassan Rahim | 4 | 20 | 6.11 |
| M. Ilahi | 5 | 57 | 10.91 |