Name
Title | ||
|---|---|---|
Optimal Operation of Energy Storage Systems Considering Forecasts and Battery Degradation. |
Abstract | ||
|---|---|---|
Energy storage systems have the potential to deliver value in multiple ways, and these must be traded off against one another. An operational strategy that aims to maximize the returned value of such a system can often be significantly improved with the use of forecasting - of demand, generation, and pricing - but consideration of battery degradation is important too. This paper proposes a stochas... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TSG.2016.2606490 | IEEE Transactions on Smart Grid |
Keywords | Field | DocType |
Batteries,Degradation,Numerical models,Australia,Stochastic processes,Optimization | Energy storage,Customer lifetime value,Numerical models,Battery degradation,Stochastic process,Operations research,Control engineering,Engineering,Customer base,Stochastic programming,Reliability engineering | Journal |
Volume | Issue | ISSN |
9 | 3 | 1949-3053 |
Citations | PageRank | References |
2 | 0.47 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Khalid Abdulla | 1 | 2 | 0.81 |
| Julian de Hoog | 2 | 31 | 8.96 |
| Valentin Müenzel | 3 | 13 | 3.09 |
| F. Suits | 4 | 201 | 29.82 |
| Kent C. B. Steer | 5 | 12 | 1.74 |
| A. Wirth | 6 | 164 | 15.46 |
| Saman K. Halgamuge | 7 | 745 | 93.40 |