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Power supply restoration after a blackout is a major task of network reconfiguration. Current research has considered conventional power generation including thermal and hydroelectric units as power sources during system restoration. However, with the increasing number of HVDC projects, it is necessary to take HVDC into account to speed up the restoration process, because of its excellent performances...
Spectrum analysis is a significant process for many measurement applications which is usually implemented by fast Fourier transform (FFT). Nevertheless, FFT is not suitable to deal with big data because of extra burden of computation. Moreover, FFT fails to provide enough accuracy for signals with a very sparse and broadband spectral distribution. In this letter, we propose a combination approach...
Previous data stream clustering algorithms not only computational speed is slow, but also data element of data stream is treated equally. In this paper, a recent-biased clustering algorithm of data stream based on tilted-time window is proposed. First, the algorithm segments sliding window equal in length to form no overlap data blocks. Then extract feature of every data block through Haar wavelet...
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