Cited By
View all- Budka KDeshpande JThottan MBudka KDeshpande JThottan M(2013)Smart Grid Data ManagementCommunication Networks for Smart Grids10.1007/978-1-4471-6302-2_10(265-284)Online publication date: 20-Dec-2013
Classical clustering methods, such as partitioning and hierarchical clustering algorithms, often fail to deliver satisfactory results, given clusters of arbitrary shapes. Motivated by a clustering validity index based on inter-cluster and intra-cluster ...
In recent years the share of renewable energy sources has risen massively. This leads to for example supply fluctuations, thus forcing power grids to balance their energy demand and generation in order to guarantee operability. This paper proposes a ...
Fast centroid-based clustering algorithms such as k-means usually converge to a local optimum. In this work, we propose a method for constructing a better clustering from two such suboptimal clustering solutions based on the fact that each ...
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