Name
Title | ||
|---|---|---|
Battery Energy Storage State-of-Charge Forecasting: Models, Optimization, and Accuracy |
Abstract | ||
|---|---|---|
Battery energy storage systems (BESS) are a critical technology for integrating high penetration renewable power on an intelligent electrical grid. As limited energy restricts the steady-state operational state-of-charge (SoC) of storage systems, SoC forecasting models are used to determine feasible charge and discharge schedules that supply grid services. Smart grid controllers use SoC forecasts ... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TSG.2018.2798165 | IEEE Transactions on Smart Grid |
Keywords | Field | DocType |
Batteries,Predictive models,Forecasting,Reservoirs,Mathematical model,Customer relationship management | Battery energy storage,Renewable energy,Smart grid,Control engineering,Schedule,Engineering,Electrical grid,Battery (electricity),Grid,State of charge | Journal |
Volume | Issue | ISSN |
10 | 3 | 1949-3053 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| David Rosewater | 1 | 0 | 0.68 |
| Summer Rhodes Ferreira | 2 | 0 | 0.34 |
| D. Schoenwald | 3 | 15 | 13.25 |
| Jon Hawkins | 4 | 0 | 0.34 |
| Surya Santoso | 5 | 26 | 10.33 |