2011
DOI: 10.1007/978-3-642-19536-5_22
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Including Environmental Performance Indicators into Kernel based Search Space Representations

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Cited by 4 publications
(2 citation statements)
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“…In this paper, we follow the support vector approach in (Bremer et al, 2010) for encoding the load schedules of a DER. This approach already has been proven as flexible enough to incorporate additional information about the individual environmental performance of each alternative into the learned model (Bremer et al, 2011b). While learning the geometrical structure of the space of feasible schedules, the approach is able to concurrently learn the functional relation of assigned performance indicators.…”
Section: The Case Of Virtual Power Plantsmentioning
confidence: 99%
See 1 more Smart Citation
“…In this paper, we follow the support vector approach in (Bremer et al, 2010) for encoding the load schedules of a DER. This approach already has been proven as flexible enough to incorporate additional information about the individual environmental performance of each alternative into the learned model (Bremer et al, 2011b). While learning the geometrical structure of the space of feasible schedules, the approach is able to concurrently learn the functional relation of assigned performance indicators.…”
Section: The Case Of Virtual Power Plantsmentioning
confidence: 99%
“…In this form, the schedules (together with the attached indicator values) may be taken as input for the mentioned support vector models for learning and encoding the set of operable schedules for communication to the scheduler without a need for adaption. After decoding on scheduler side, the schedules will still have the same information on load per time interval and the values of the indicators (Bremer et al, 2011b). Now the scheduling unit needs to know the individual meanings of the indicator values.…”
Section: Encoding the Indicatorsmentioning
confidence: 99%