Decision-making oriented clustering: Application to pricing and power consumption scheduling
نویسندگان
چکیده
Data clustering is an instrumental tool in the area of energy resource management. One problem with conventional that it does not take final use clustered data into account, which may lead to a very suboptimal or computational resources. When are used by decision-making entity, turns out significant gains can be obtained tailoring scheme task performed entity. The key having good performance automatically extract important attributes space inherently relevant subsequent and partition based on these instead partitioning predefined metrics. For this purpose, we formulate framework oriented propose algorithm providing decision-based representative decisions. By applying novel typical real-time pricing power consumption scheduling, obtain several insightful analytical results such as expression best price profiles for reduction terms required clusters perform scheduling shown our simulations.
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ژورنال
عنوان ژورنال: Applied Energy
سال: 2021
ISSN: ['0306-2619', '1872-9118']
DOI: https://doi.org/10.1016/j.apenergy.2021.117106