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Search results for: power
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Year: 2023, Volume: 23, Number: 2
... CNN_EEG) machine learning methods (SVM and CNN) are used to build classification models. In this case, CNN trained on EEG signal to construct an architecture powered by the EEG signals data (Figure 3), VI. SVM MODELS PROPOSED and consists of: 1) Input layer as a vector of 22 ( ...
Year: 2023, Volume: 23, Number: 2
... control of the LFC results in time delays that make the system In an interconnected power system, measurement data unstable. A frequency-domain approach is proposed to and control ... load demand fluctuations. That is owing to changing the [20] and microgrid-based smart-power-grid-systems in [21] consumption hours of demand-side controllable loads or were calculated using ...
Year: 2023, Volume: 23, Number: 2
... 2023 Risk-based Optimal Bidding and Operational Scheduling of a Virtual Power Plant Considering Battery Degradation Cost and Emission Ozge Pinar ... ,tC indicates the solar cell to the uncertain output powers of WPP and PHPP. For this, temperature ... hour t and scenario s (ºC), NOTC is the the recent past wind and solar data are ...
Year: 2023, Volume: 23, Number: 2
... of different energizing the stator windings at the right time and angle. simulations, it is shown that both motors, including the air To provide this, a power electronics circuit and a control gap, the reduced fill factor and cooling, have a similar mechanism are also required [1]. Although the structure of ...
Year: 2023, Volume: 23, Number: 2
... with the CNN. The network MSCAN- adaptive feature fusion strategy to improve the network's can localize the keypoints more accurately via taking some AFF [25] representational power for face alignment and auxiliary information, such as gender, head pose, etc., into recognition. Proposed multi-scale shared features and adaptive account. Wu ...
36. A Proposed Signal Reconstruction Algorithm over Bandlimited Channels for Wireless Communications
Year: 2023, Volume: 23, Number: 1
... In [16-17], the authors suggested multiple to send most of its spectral power compared to the algorithms for compressing and reconstructing conventional schemes, thus more bandwidths ... of for extrapolating a finite-frequency portion of a time-limited iterations to reconstruct the low-band or low-power baseband pulse signal and different streams of pulses is the transmitted windows; focus ...
Year: 2023, Volume: 23, Number: 1
... giving significantly reduced by partial shading [2]. The traditional farmers access to power for everything, from harvesting crops MPPT algorithms become stuck in the local MPP ... required [3- durability and ruggedness. In this work, the SWPS is powered 4]. Under conditions of uniform shading, conventional by an inverter driven ...
Year: 2023, Volume: 23, Number: 1
... surface and cooling capability [1- increase in rotor losses and accordingly a poor power factor 11]. are the main drawbacks for SRIMs [2-13]. ... different rotor types for high-speed induction motors," effects analytic and experimental results for high-power high-speed Proc. Int. Conf. on Electrical and Electronics Engineering (ELECO ...
Year: 2023, Volume: 23, Number: 1
... a content- due to the exponential increase in data requests through the centric network (CCN) model [4]. Internet. To support these activities, high-power computing Software-defined networks (SDN) enable the decoupling and massive storage must support the creation, retrieval, update, and deletion of large amounts of data. ...
Year: 2023, Volume: 23, Number: 1
... lines in and out of service has economic advantages by adjusting the topology of the power several advantages. In 1980, a paper [5] first proposed to ... and Computer Engineering Volume 23, Number 1, 2023 Thermal power plant Gth and Hydropower plant Ghy.  min   ang Png  t    ...
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