Improving the on-line control of energy storage via forecast error metric customization
The economical operation of many distributed energy assets relies on effective on-line control, which in turn often requires forecasts to be made. To produce and evaluate forecasts, the error metric by which one measures forecast accuracy must be selected. A new method is presented which customizes a forecast error metric to a given on-line control problem instance, in order to improve the controller's performance. This method is applied to the real-time operation of a battery with the...[Show more]
|Collections||ANU Research Publications|
|Source:||Journal of Energy Storage|
|Access Rights:||Open Access|
|01_Abdulla_Improving_2016.pdf||398.07 kB||Adobe PDF|
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