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Year: 2018, Volume: 18, Number: 1
... PMSG) negligible effect in normal operating conditions while it Modeling inserts a series impedance to limit the fault current ... for improvement of system dynamic performance. simulation of plant model for large-scale PMSG based wind 46 Advances in Electrical ... "Design of multi-machine power system by novel braking resistor models," of decoupling current control with symmetrical optimum ...
Year: 2008, Volume: 8, Issue: 1
... with A cross-sectional view is presented in figure 1. modeling uncertainties, time varying parameter fluctuation, and external ... the similarity between the FLC and the II. SRM MODEL sliding mode control (SMC), for a ... a simple construction, but the solution of its mathematical models is relatively difficult due to its dominant non-linear behaviour ...
Year: 2010, Volume: 10, Issue: 3
... , 1991, Elements of Information Spectral and Statistical Based Modeling for Bearing Damage in Theory, Wiley, New ... Stone, "A institute,Berkeley, TR-98-028 probabilistic model for evaluating the remaining life of electrical [20 ... damage. Variance and entropy values are chosen for the modelling Feature parameters of the MLP network since the aging ...
Year: 2020, Volume: 20, Number: 2
... the broad solar forecasting literature [11-17]. ANN modeling, prediction, solar energy. techniques for estimating ... Engineering Volume 20, Number 2, 2020 A Hybrid Model of 2d-DCT and 2d-Mycielski Algorithm for Hourly Global Solar ... and Seifi also stochastic processes by the combination of two models. The proposed model is benchmarked with the selected ...
Year: 2022, Volume: 22, Number: 1
... , speech signal, and 3) Binary Classification music modeling performances are similar to the LSTM In the first ... Hackers have reportedly created unique strains of (BGH) model has been designed to detect eight known IoT malware ... and the number is model and its comparison with previous models. Finally, predicted to reach one trillion by ...
Year: 2008, Volume: 8, Issue: 1
... (and sometimes classifiers or • Mining Schema. Each model contains one estimators). According to [1 ... the methods through integrating knowledge capabilities into applications.The which the models are processed. Also, in a previous work ... for Figure 2. The Concepts and Relations that are modeled by the Metadata updating/replacing an existing model ...
Year: 2019, Volume: 19, Number: 2
... . certain tier based on the following criteria: For modeling the locations of the BSs, we have used ... Cellular Network based on User Association using Multi-Slope Path Loss Model Sundus ALI, Muhammad Imran ASLAM, Irfan AHMED ... future, it is imperative that more accurate path loss models be Decoupled (DUDe). In this technique ...
Year: 2023, Volume: 23, Number: 3
... 24%, respectively. Additionally, the neural network-based modeling of biomonitoring studies data and LSTM model has achieved ... significantly between successive time steps, the proposed a hybrid model that consists of an ARIMA with a same as ... . Existing traffic forecasting approaches use simple passing day. models based on univariate historical datasets or fuse historical Smart ...
Year: 2013, Volume: 13, Number: 4
... Engineering Volume 13, Number 4, 2013 Least Squares Modeling of Voltage Harmonic Distortion Due to PC Cluster Operation ... ) caused by operation of PC cluster. The proposed model is shown in Fig. 1, where a ... for the THDU determination [13]. However, Models (4) and (5) enable the ...
Year: 2021, Volume: 21, Number: 4
... . Then use the long short-term memory model most physical modeling methods are NWP assessment of (LSTM) with ... improving time-frequency aggregation. Then use the long short-term memory model most physical modeling methods are NWP assessment of ( ... the influence of noise on intelligent algorithms, and combined models. At present, prediction performance, and improving ...
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