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    Wind, Solar, and Photovoltaic Renewable Energy Systems with and without Energy Storage Optimization: A Survey of Advanced Machine Learning and Deep Learning Techniques by Abu Zitar, Raed

    Published 2022
    “…Computational Intelligence (CI) techniques have been recognized as effective methods in generating and optimizing renewable tools. …”
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    A hybrid model for the optimum integration of renewable technologies in power generation systems by Poullikkas, Andreas

    Published 2011
    “…The optimization model developed uses a genetic algorithm (GA) technique for the calculation of both the additional cost of electricity due to the penetration of RES-E technologies as well as the required RES-E levy in the electricity bills in order to fund this RES-E penetration. …”
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    Economic load dispatch multiobjective optimization procedures usinglinear programming techniques by Farag, A.

    Published 1995
    “…The optimization procedures basically utilize linear programming with bounded variables and it incorporates the techniques of the Section Reduction Method and the Third Simplex Method. …”
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    An optimal resource allocation for future parking lots with charger assignment considering uncertainties by Abdelwahab, Osama Magdy

    Published 2021
    “…A Markov Chain Monte Carlo (MCMC) simulation technique is utilized to account for the uncertainties associated with the PV generation and the power demand. …”
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    ENUMERATIVE TECHNIQUES IN TOPOLOGICAL OPTIMIZATION OF COMPUTER NETWORKS SUBJECT TO FAULT TOLERANCE AND RELIABILITY by Abd-El-barr, Mostafa

    Published 2002
    “…Experimental results obtained from a set of randomly generated networks using the proposed algorithms are presented and compared to those obtained using the existing techniques [1], [2]. …”
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    The Use of Enumerative Techniques in Topological Optimization of Computer Networks Subject to Fault Tolerance and Reliability by Abd-El-barr, Mostafa

    Published 2003
    “…Existing enumeration-based techniques for solving this network optimization problem ignore the fault-tolerance aspect in their solution. …”
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    Enhanced control technique for a sensor-less wind driven doubly fed induction generator for energy conversion purpose by Mahmoud A. Mossa (13825675)

    Published 2021
    “…The adaptation process is performed through studying the relation between the generator’s torque and the power angle between the stator and rotor flux vectors. …”
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    Reliability and fault tolerance based topological optimization of computer networks - part II: iterative techniques by Abd-El-Barr, Mostafa

    Published 2003
    “…Experimental results for a set of 10 randomly generated networks using the three iterative techniques are presented and compared. …”
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    Reliability and fault tolerance based topological optimization of computer networks - part I: enumerative techniques by Abd-El-Barr, Mostafa

    Published 2003
    “…Existing enumeration-based techniques for solving this network optimization problem ignore the fault-tolerance aspect in their solution. …”
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    Effective uncertain fault diagnosis technique for wind conversion systems using improved ensemble learning algorithm by Khadija Attouri (18024307)

    Published 2023
    “…<p>This paper introduces a pioneering fault diagnosis technique termed Interval Ensemble Learning based on Sine Cosine Optimization Algorithm (IEL- SCOA), tailored to tackle uncertainties prevalent in wind energy conversion (WEC) systems. …”
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    Implementation and Comparison of Particle Swarm Optimization and Genetic Algorithm Techniques in Combined Economic Emission Dispatch of an Independent Power Plant by Shahbaz Hussain (9765320)

    Published 2019
    “…<div><p>This paper presents the optimization of fuel cost, emission of NOX, COX, and SOX gases caused by the generators in a thermal power plant using penalty factor approach. …”
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    Defense against adversarial attacks: robust and efficient compressed optimized neural networks by Insaf Kraidia (19198012)

    Published 2024
    “…A cumulative updating loss function was employed for overall optimization, demonstrating remarkable superiority over traditional optimization techniques. …”
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    Impact of Sampling Technique on the Performance of Surrogate Models Generated with Artificial Neural Network (ANN): A Case Study for a Natural Gas Stabilization Unit by Mohamed Ibrahim (3465677)

    Published 2019
    “…To enhance the model robustness, proper sampling techniques are required to cover the entire domain of the process variables uniformly. …”
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    A review on fractional order (FO) controllers’ optimization for load frequency stabilization in power networks by Abdul Latif (8829644)

    Published 2021
    “…Moreover, the current research work illustrates the structural control operation with transfer function analysis of different FO controllers considered for multiple single/multi-area power network. To optimally tune the existing FO controller parameters, application of several optimization techniques corresponding to the frequency regulation issues have been undertaken. …”
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    Thermodynamic Analysis and Optimization of Densely-Packed Receiver Assembly Components in High-Concentration CPVT Solar Collectors by Sharaf, Omar Z.

    Published 2016
    “…Results show the existence of optimum geometrical design vectors, given a set of operation conditions, ensuring that the system-level performance of a CPVT employing the optimized components is maximized.…”
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