Titlebook: Data Analytics for Renewable Energy Integration; Third ECML PKDD Work Wei Lee Woon,Zeyar Aung,Stuart Madnick Conference proceedings 2015 Sp

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Mitigate

https://doi.org/10.1007/978-3-030-73036-9consumption are not known in advance. Using expert knowledge obtained from solving a family of linear programs, we build a learning set for training a decision-making agent. The empirical performances in terms of Levelized Energy Cost (LEC) of the obtained agent are compared to the expert performanc

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indoctrinate

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Hamper

Henry Miller and the Embrace of Defilementme series is relevant in various applications, e.g., in the task of learning meta-models of feasible schedules for flexible components in the energy domain. In this paper, we introduce a classification approach that employs a cascade of classifiers based on features of overlapping time series steps.

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galley

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