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On the Hybrid Power Mean Involving the Two-Term Exponential Sums and Polynomial Character Sums
Chinese Annals of Mathematics, Series B, 2020For any integer \(q \geq 3\), the high-dimensional Kloosterman sums \(K\left(c_{1}, c_{2}, \ldots, c_{k}, m ; q\right)\) are defined as follows: \[ K\left(c_{1}, c_{2}, \ldots, c_{k}, m ; q\right)=\mathop{\sum'}_{a_{1}=1}^{q} \cdots \mathop{\sum'}_{a_{k}=1}^{q} e\left(\frac{c_{1} a_{1}+\cdots+c_{k} a_{k}+m \bar{a}_{1} \cdots \bar{a}_{k}}{q}\right ...
Lv, Xingxing, Li, Xiaoxue
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Coherency approach by hybrid PSO, K-Means clustering method in power system
2008 IEEE 2nd International Power and Energy Conference, 2008This paper presents a new method for recognition the identical behaviors of synchronous generators for particular fault location on power system. In this method, a hybrid algorithm combining particle swarm optimization (PSO) algorithm with k-means algorithm, also referred to PSO-KM algorithm is proposed to find the specified number of clusters in ...
Moez Davodi +4 more
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Mean Field Game-Theoretic Framework for Distributed Power Control in Hybrid NOMA
IEEE Transactions on Wireless Communications, 2022The steady expansion of the number of wireless devices and the ubiquity of the networks give rise to various interesting challenges for the future sixth generation (6G) of wireless communication systems. Particularly, the operators have to handle massive connectivity among Machine Type Devices (MTDs) and increasing demand for eMMB through limited ...
Amani Benamor +3 more
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Day-ahead photovoltaic power forecasting using hybrid K-Means++ and improved deep neural network
Measurement, 2023Xiaoyang Lu
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Improvement of wind farm power quality by means of ANN-contorlled hybrid filter
The 5th Annual International Power Electronics, Drive Systems and Technologies Conference (PEDSTC 2014), 2014Converters that are specifically designed for use in wind turbines may inject considerable amount of harmonics into their connected distribution systems that could exceed its tolerance limit determined by IEEE 1547 Std. In this paper a hybrid filter constructed of a shunt active filter series with passive filters is used for power quality and a neural ...
Seyed Hamid Shahalami, Reza Hosseini
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Wind Engineering, 2023
One of the most complex and motivating issues in power system is optimal power flow (OPF), which is a constrained optimization problem characterized by non-linearity and non-convexity. From these specifications, researchers competed in the past decades to find optimal solutions to OPF problem while keeping system stability.
El ayache Belagra +3 more
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One of the most complex and motivating issues in power system is optimal power flow (OPF), which is a constrained optimization problem characterized by non-linearity and non-convexity. From these specifications, researchers competed in the past decades to find optimal solutions to OPF problem while keeping system stability.
El ayache Belagra +3 more
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Photovoltaic Plant Output Power Forecast by Means of Hybrid Artificial Neural Networks
2020The main goal of this chapter is to show the set up a well-defined method to identify and properly train the hybrid artificial neural network both in terms of number of neurons, hidden layers and training set size in order to perform the day-ahead power production forecast applicable to any photovoltaic (PV) plant, accurately.
Ogliari E., Nespoli A.
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Proceedings of 2003 IEEE Conference on Control Applications, 2003. CCA 2003., 2003
Most of the features of the future hybrid electric vehicles are enabled by a new energy flow management unit designed to split the instantaneous power demand between the internal combustion engine and the electric motor, ensuring both an efficient power supply and a reduced emission.
IPPOLITO, Lucio +2 more
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Most of the features of the future hybrid electric vehicles are enabled by a new energy flow management unit designed to split the instantaneous power demand between the internal combustion engine and the electric motor, ensuring both an efficient power supply and a reduced emission.
IPPOLITO, Lucio +2 more
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A powerful hybrid clustering method based on modified stem cells and Fuzzy C-means algorithms
Engineering Applications of Artificial Intelligence, 2013One of the simple techniques for Data Clustering is based on Fuzzy C-means (FCM) clustering which describes the belongingness of each data to a cluster by a fuzzy membership function instead of a crisp value. However, the results of fuzzy clustering depend highly on the initial state selection and there is also a high risk for getting the best results ...
Mohammad Taherdangkoo +1 more
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