Segmentation of Residential Gas Consumers Using Clustering Analysis
This paper proposes a clustering-based methodology to define the segmentation of residential gas consumers
This paper proposes a clustering-based methodology to define the segmentation of residential gas consumers
This paper proposes the use of mixed fuzzy clustering (MFC) algorithm to simultaneously cluster time variant and time invariant data.
This paper proposes a process for the classification of new residential electricity customers. The current state of the art is extended by using a combination of smart metering and survey data and by using model-based feature selection for the classification task.
This paper proposes the use of mixed fuzzy clustering (MFC) algorithm to derive Takagi-Sugeno (TS) fuzzy models.
This paper proposes ensemble fuzzy modeling for personalized medicine in the intensive care unit (ICU), in particular for the prediction of vasopressors administration.
Intelligent Systems 4
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