Christoph Kattmann

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The amount of data generated by smart meters is a challenge for storage, but also for computation. In order to derive meaningful knowledge from the recorded data, simulations must be able to use it simply and effectively. This paper presents an algorithm that uses agglomerative hierarchical clustering to compress smart meter data and optimally prepares it(More)
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