Results 41 to 50 of about 112,353 (156)
The conventional impedance (Z)‐based relay which is the well‐known relay to preserve the power plant's synchronous generator (PPSG) against loss of field (LOF) accident may fail during some stable power swing (SPS); on the other hand, most of the ...
Ali Rostami, Navid Rezaei
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In this study, hybrid LSTM‐SVM and hybrid LSTM‐KNN models were developed to predict hourly PV power one day ahead. The performances of these hybrid models were compared with K‐nearest neighbors (KNN), long short‐term memory (LSTM), and support vector ...
Tuba T. Ağır
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In this article the author analyzes the term “power sharing” (PS) in the context of power exercised within a state. He first examines the term in the very general sense, in which it can be applied to all types and dimensions of power sharing between various groups and institutional entities.
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Enhancing Power Allocation in DAS: A Hybrid Machine Learning and Reinforcement Learning Model
This paper presents a novel hybrid approach to optimize downlink power allocation in a Distributed Antenna System (DAS) with many Remote Access Units (RAUs) and User Equipment (UEs) randomly distributed in a single cell.
S. Gnanasekar, K. C. Sriharipriya
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Abstract The article describes a theoretical study of basic features of active hybrid bearings used as supports for heavy energy-generating machines equipment, primarily turbine generators and their turbines. Due to the adjustable oil supply pressure and using a controller of a rotor position AHB reduces its vibration level.
D V Shutin, R N Polyakov
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Optimal Power Allocation for Channel Estimation in MIMO-OFDM System with Per-Subcarrier Transmit Antenna Selection [PDF]
A novel hybrid channel estimator is proposed for multiple-input multiple-output orthogonal frequency- division multiplexing (MIMO-OFDM) system with per-subcarrier transmit antenna selection having optimal power allocation among subcarriers.
K. Rajeswari, S. J. Thiruvengadam
doaj
Prediction of the optimal hybrid train trajectory by using artificial neural network models
This paper presents the development and validation of two artificial neural networks (ANN) models, utilising time and power‐based architectures, to accurately predict key parameters of a hydrogen hybrid train profile and its optimal trajectory.
Tajud Din +5 more
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Precisely forecasting output of solar photovoltaics is crucial for (i) effective solar power management, (ii) integration into the electrical grid, (iii) flexible allocation of power resources.
Ruxue Bai +5 more
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A Comprehensive Review of the Load Forecasting Techniques Using Single and Hybrid Predictive Models
Load forecasting is a pivotal part of the power utility companies. To provide load-shedding free and uninterrupted power to the consumer, decision-makers in the utility sector must forecast the future demand for electricity with a minimum error ...
Abdullah Al Mamun +5 more
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The problems associated with the greenhouse effect have increased the desire to limit carbon dioxide (CO2) emissions into the atmosphere, including emissions produced by shipboard electrical power systems. This has led to a further search for solutions in this area, such as shipboard hybrid electric power systems (SHEPSs). These systems do not yet have
Sergii Tierielnyk, Valery Lukovtsev
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