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In order to study coastal intensive large-scale wind farm output characteristics and interrelatedness, take large-scale wind farm in coastal Jiangsu as an example, based on the measured wind power output data in EMS systems correlation between wind farms and the active output probability distributions, the monthly maximum output were analyzed. Studied the active output fluctuations of wind farms and...
To accommodate the increasing wind energy with stochastic nature becomes a major issue on power system reliability. This paper proposes a methodology to characterize the spatiotemporal correlation of multiple wind farms. First, a hierarchical clustering method based on self-organizing maps is adopted to categorize the similar output patterns of several wind farms into joint states. Then the hidden...
A novel joint blind channel estimation and turbo equalization algorithm is proposed for orthogonal frequency-division multiplexing (OFDM) system in this paper. It has been proved that, blind channel estimation based on linear precoding can obtain channel information exactly. However, the precoding will cause inter-symbol interference (ISI). With the existence of ISI, the bit error rate (BER) performance...
In cognitive radio networks, spectrum sensing is a key technology to detect the presence of the primary user. In this paper, a joint energy and autocorrelation based spectrum sensing algorithm is proposed. The proposed detection algorithm is based on the assumption that the primary user's signal is not white. We compare the performance of the proposed detector and the conventional energy detector...
Modeling heartbeat variability remains a challenging signal-processing goal in the presence of highly non-stationary cardiovascular control dynamics. We propose a novel differential autoregressive modeling approach within a point process probability framework for analyzing R-R interval and blood pressure variations. We apply the proposed model to both synthetic and experimental heartbeat intervals...
This paper proposes a stochastic optimization algorithm that aims to minimize the expectation of the system power losses by controlling wind turbine (WT) power factors. This objective of the optimization is subject to the probability constraints of bus voltage and line current requirements. The optimization algorithm utilizes the stochastic models of wind power generation (WPG) and load demand to...
The stock prices are affected by historical information to a certain extent. The fluctuation volatility can be measured by the Hurst index. With modified rescale range/standard deviation (R/S) model, this paper presents an analysis of CSI 300 index, coal and oil industry index, and other six individual stocks in different industries for their fluctuation features.
This paper presents an effective adaptive algorithm based on cluster analysis for enlarging and demosaicking RGB images using Bayer CFA pattern images. The proposed method is efficient in fixed-point hardware implementation, and outperforms the existing weighing approach in terms of the perceptual quality. Experimental results show that this adaptive algorithm is effective both in implementation and...
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