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Decomposition methods are widely applied as a prestage of wind power prediction (WPP) to reduce the prediction errors caused by the nonstationarity and nonlinearity of wind power time series (TS); however, they cannot address the issues posed by the chaotic behavior of wind power TS. This paper, therefore, proposes a novel decomposition approach to take the chaotic nature of wind power TS into account...
With the increase in awareness about the climate change, there has been a tremendous shift towards utilizing renewable energy sources (RES). In this regard, smart grid technologies have been presented to facilitate higher penetration of RES. Microgrids are the key components of the smart grids. Microgrids allow integration of various distributed energy resources (DER) such as the distributed generation...
Transformerless grid-connected PVs are more economical and efficient compared to transformer connected PVs; however, in this type of connection high leakage current flows between the PV arrays and the grid due to the parasitic capacitances of the system. This leakage current is one of the main culprits in causing electromagnetic interference in power system, saturation of distribution transformers...
Pulse width modulation controlled inverters produce Common-Mode Voltage (CMV), which is the main culprit of many system drawbacks ranging from Electromagnetic Interference (EMI) issues to bearing damage and insulation aging. Former methods for common-mode voltage reduction based on voltage control cause a great deal of extra harmonic distortion in output currents. In this paper, a method named as...
In many Digital Signal Processing (DSP) modules, increasing the number of pipelining stages to achieve higher throughput may break the module functionality if a feedback-loop exists in the algorithm. This paper addresses a novel algorithmic-level technique to modify implementation of feedback loops to allow deeper pipelining while sustaining the module functionality. An equivalent model for a first-order...
Performance of Maximum Likelihood Sequence Estimation (MLSE) in receivers highly depends on the reliability of the channel parameters estimation. Traditionally, the channel parameters are estimated based on the tentative decisions before the MLSE detector. Per-survivor Processing (PSP) technique, as compared to traditional Viterbi algorithm, was shown to improve the performance of MLSE in uncertain...
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