Optimal Resource Allocation via Unified Closed-Form Solutions for SWIPT Multi-Hop DF Relay Networks. [PDF]
Yu Y, Tang X, Xie G.
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Emergence of functionally differentiated structures via mutual information minimization in recurrent neural networks. [PDF]
Tomoda Y, Tsuda I, Yamaguti Y.
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Adaptive energy loss optimization in distributed networks using reinforcement learning-enhanced crow search algorithm. [PDF]
Bharath S, Vasuki A.
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Efficient coordination of hybrid energy system (fuel cell/photovoltaic/battery/supercapacitor) under the condition of fluctuated load using optimization based energy management strategy. [PDF]
Ali MA, Mandour ME, Lotfy ME.
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Distributed generation and shunt capacitor allocation in radial distribution power networks using a hybrid optimization approach. [PDF]
Sundar R +6 more
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Age of Information Minimization in Multicarrier-Based Wireless Powered Sensor Networks. [PDF]
Sun J, Xia J, Zhang S, Yu X.
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Minimization of Power Losses in Cooperating Manipulators
1991 American Control Conference, 1991The control of multiple manipulators handling a common object entails the solution of an underdetermined system of linear equations which represents the system’s dynamics. In order to choose an optimal solution to this problem, various approaches have been proposed: minimum internal force and minimum power, among others.
Nahon, M., Angeles, J.
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Reactive power control for real power-loss minimization
IEEE Computer Applications in Power, 1988An accurate and fast technique for real-time control of system voltage and reactive power of large-scale power systems is presented. The one-bus-away method has been modified to obtain accurate results with moderate computer requirements for online application to large-scale power networks.
M.A.H. El-Sayed +2 more
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Minimization of real power losses using reactive power control
Electric Power Systems Research, 1989Abstract Reactive power control in a power system is useful to improve the voltage profile and reduce the system power losses. The power loss is minimized with VAR sources as control variables (capacitors/inductors, SVSs and generator reactive powers) and variable transformer tap ratios. The constraints are on the bus voltage magnitudes.
R.P. Aggarwal, Yisheng Pan
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Induction motor drives with minimal power losses
Russian Electrical Engineering, 2012The goal is to synthesize a control system for an induction motor such as to ensure operation with minimal power losses. Standard nonlinearity and losses in the steel of the motor’s stator are taken into account in MatLab simulation. The proposed control system reduces the losses by up to 25% in comparison with classical scalar control.
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