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Year: 2020, Volume: 20, Number: 2
... A. Kocer, I. F. Yaka, and G. T. networks," (in English), Iet Renewable Power Generation, vol. ... . 2D-FIR model for hourly solar radiation forecasting [10]. The artificial neural network (ANN) is one of the choices Index Terms — discrete cosine transform ...
Year: 2013, Volume: 13, Number: 2
... UDP communication in third party [17]. This presents a problem for small networks, embedded system, a Network Interface Controller (NIC) since the presence ... outdated Trivial File Transfer Protocol (TFTP). can be located within Wireless Sensor Network (WNS) The main advantage of using TFTP in embedded systems is the ...
Year: 2016, Volume: 16, Number: 1
... causes fault currents through the grounding systems of all current distribution in effectively grounded power networks, substations with grounded neutrals. When the fault occurs at for a ground ... current distribution in an varying tower resistances along a transmission line have effectively grounded power network is affected by various been described by Dawalibi [7, 8]. ...
Year: 2011, Volume: 11, Number: 4
... (SingleEndedCondEq) or double- ended model is organized as a set of radial networks which can be (DoubleEndedCondEq) conductors, and these ends are weakly meshed ... model describing large electricity power the following phases: coarsening, partitioning, and distribution network. Experiments show that SR refinement (or uncoarsening). Coarsening is an ...
Year: 2021, Volume: 21, Number: 4
... Fourier transform of Among them, y (2) Compared with other traditional neural networks, the original signal, and ξ represents the angular frequency. LSTM has ... of proposed hybrid forecasting model has obvious performance historical data. Therefore, artificial neural network as a advantages, is conducive to the safe and high-reliable of the typical ...
Year: 2017, Volume: 17, Number: 3
... of arrhythmias in [6] and another complex combination of K-Nearest Neighbors, neural networks and a Index Terms — complexity theory, decision trees, fuzzy system is ... . A new required for complexity calculus, a cloud computing solution fuzzy clustering neural network architecture is proposed to with executable code deployment is also proposed. classify ten ...
Year: 2017, Volume: 17, Number: 4
... are the coefficients of a load model power P) coefficients was used for distribution networks consisting of constant impedance Z, constant current I and considering the mutual coupling ... Voltage Reduction (CVR) algorithm in a or devices [3]. distribution network with distributed generations (DG) units CVR has been widely tested and employed ...
Year: 2019, Volume: 19, Number: 3
... P. Nuutinen, and J. Ylitalo, scale MIMO-based wireless backhaul in 5G networks," IEEE "Improving clustering performance using multipath component Wireless Commun., ... , Number 3, 2019 Estimation of Spatial Channel Model in a Wireless Ultra-Wide-Area Backhaul Network using the Deterministic Ray Tube Method Daljae YUN1, Youngdam KIM2, Inil JUNG1 ...
Year: 2013, Volume: 13, Number: 2
... delays of the analog reliably convergent in comparison with classical iterative filter and the all-pass networks are added because of their techniques [11]. cascade connection. A ... was the y High convergence velocity and stability. main optimization objective using an all-pass network, see y Applicability to multidimensional problems. Figure 3. It is a ...
Year: 2015, Volume: 15, Number: 4
... . Chu, "Long-term voltage instability detections of multiple fixed-speed induction generators in distribution networks TABLE B1. TRANSFORMER ULTC PARAMETERS using synchrophasors," IEEE Transactions on Smart ... and streamed onto a communication buses of interest are related to the voltage level by network for load and generator clustering, and voltage computing the reduced Jacobian of the ...
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