Results 121 to 130 of about 112,353 (156)

Photovoltaic Plant Output Power Forecast by Means of Hybrid Artificial Neural Networks

2020
The 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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On the Hybrid Power Mean Involving the Two-Term Exponential Sums and Polynomial Character Sums

Chinese Annals of Mathematics, Series B, 2020
For 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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Optimal power flow calculation in hybrid power system involving solar, wind, and hydropower plant using weighted mean of vectors algorithm

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, Souhil Mouassa, Saliha Chettih, Francisco Jurado   +3 more
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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), 2014
Converters 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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Hybrid Mean Variance Mapping Optimization Algorithm for Solving Stochastic Based Dynamic Economic Dispatch Incorporating Wind Power Uncertainty

Electric Power Components and Systems, 2021
This paper presents a model for studying the dynamic economic load dispatch problem in power system including conventional thermal generators and wind turbines.
Noha Shouman, Yasser G. Hegazy, Walid A. Omran   +2 more
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Extended fuzzy c-means and genetic algorithms to optimize power flow management in hybrid electric vehicles

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, LOIA, Vincenzo, SIANO, PIERLUIGI   +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, 2013
One 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, Mohammad Hadi Bagheri   +1 more
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A new hybrid power mean involving the generalized quadratic Gauss sums and sums analogous to Kloosterman sums *

Lithuanian Mathematical Journal, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lv, Xingxing, Zhang, Wenpeng
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Cultural Sociology in Mexico: Meaning-Making as Hybridization, Power, and Cultural Structure

Cultural Sociology
This article analyzes how, at a very early stage, Mexican cultural sociologists explained meaning-making processes using a set of factors external to the cultural sphere and how, more recently, they have emphasized that such meaning-making processes have analytical autonomy.
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BAYESIAN STUDY OF HYBRID WEIBULLEXPONENTIAL POWER MODEL BY MEANS OF HAMILTONIAN MONTE CARLO ALGORITHM

In this paper, we derived two important properties, viz: moment and order statistics, for the Hybrid Weibull-Exponential Power actuarial reliability model. We considered Bayesian procedures for estimating the parameters of the model. We tested the performance of the estimation approach by means of simple Monte Carlo experiment, hence, found the ...
M. A. Alhassan, A. Yahaya, O. O. Ishaq, B. Abba, A. B. Muhammad   +4 more
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