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There are several pattern-based clustering methods which are used for different applications such as pattern recognition, data mining, etc. In recent years, some of these methods are implemented in power system studies, especially for clustering load curves for designing suitable tariffs, demand response programs selection, etc. Choice of the best clustering method for certain application is one of...
Clustering is a process that partitions a set of feature vectors into clusters. There are different applications of load curves clustering in regulated and deregulated environment such as system analysis, load and price forecasting, distributed resource selection, better tariff design, etc. In this paper we evaluate performances of two clustering methods (WFA (weighted fuzzy average), K-means and...
In the electricity market, it is highly desirable for suppliers to know the electrical behavior of their customers, in order to provide them with satisfactory services at the least cost. One of the most important objectives in such case is designing tariff for customers. Electricity providers have been given new degrees of freedom in defining tariff structures and rates under regulatory-imposed revenue...
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