Name
Abstract | ||
|---|---|---|
Energy storage systems and home energy management and control systems will play an important role in reaching the Paris Agreement on climate change. Underlying scheduling mechanisms will lead to a computational burden when the size of the systems and the size of the control space increase. One, upcoming alternative to overcome this computational burden is quantum computing. Here a quantum computer is used to solve the scheduling problems. In this paper an approach of using the D-Wave quantum annealing to solve an energy storage scheduling problem is proposed and used to solve a small example. The example shows the potential that quantum computing can have in this area in the future. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1007/978-3-030-75004-6_17 | I4CS |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Frank Phillipson | 1 | 4 | 9.23 |
| Tariq Bontekoe | 2 | 0 | 0.34 |
| Irina Chiscop | 3 | 0 | 0.34 |