Search Results - (( model evaluation system algorithm ) OR ( storage optimization based algorithm ))
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Optimizing Cloud Storage Costs: Introducing the Pre-Evaluation-Based Cost Optimization (PECSCO) Mechanism
Published 2025“…Innovative cloud computing system offers cutting-edge storage models that prioritize the importance of data, adaptive algorithms for controlling data flow, and cost-effective computational procedures. …”
Conference paper -
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Optimization of operations of reservoir systems for hydropower generation in Tigris River Basin, Iraq
Published 2016“…Hybrid model, consists of GAOM and SM, was created. This model has high reliability and can be used in real applications with various storage systems.Keywords: reservoir systems, optimization, simulation, optimal operation policy, genetic algorithms, Matlab, Simulink, hydropower generation, Tigris river basin, Iraq.…”
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Thesis -
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Modeling and multi-objective optimal sizing of standalone photovoltaic system based on evolutionary algorithms
Published 2020“…Performance results show that the MADE algorithm based on lead-acid battery has a high level of LLP and minimum cost among other types of storage batteries. …”
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Switching Time Optimization via Time Optimal Control for Natural Gas Vehicle Refueling
Published 2007“…The performance of the refueling algorithms are evaluated based on three experiments: the first experiment is the performance of valves switching and refueling time transitions; the second experiment is the performance of refueling when the storage pressures are set to 3600 psig while the receiver tank is varied from 20 to 2000 psig; and the third experiment is the performance of refueling when the storage pressures are set to different pressures while the receiver tank is maintained at 20 psig. …”
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Thesis -
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Metaheuristic searching genetic algorithm based reliability assessment of hybrid power generation system
Published 2020“…This paper proposed a new optimization approach called Metaheuristic Scanning Genetic Algorithm (MSGA) for the evaluation of the efficiency of power generating systems. …”
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Optimization of multipurpose reservoir operation using evolutionary algorithms / Mohammed Heydari
Published 2017“…To evaluate the hybrid algorithm, optimization of hydro-power energy of Karun dams were considered. …”
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Thesis -
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Gravitational Search Algorithm based Long Short-term Memory Deep Neural Network for Battery Capacity and Remaining Useful Life Prediction with Uncertainty
Published 2024“…The RUL prediction uncertainty with a 95% confidence interval (CI) is also analyzed. The GSA algorithm optimizes the hyperparameters of the LSTM network to construct an optimal model. …”
Conference Paper -
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Gravitational Search Algorithm Based LSTM Deep Neural Network for Battery Capacity and Remaining Useful Life Prediction With Uncertainty
Published 2025“…Its performance is compared with baseline LSTM, baseline GRU, BiLSTM, and LSTM-based particle swarm optimization (PSO) models across various error metrics. …”
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Optimize and deploy machine learning algorithms on embedded devices for manufacturing applications
Published 2025“…This proposal discusses the techniques of optimizing and deploying machine learning algorithms on embedded devices for manufacturing applications; We investigate problems of printed circuit board (PCB) defects and artificial intelligence in embedded system. …”
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Final Year Project / Dissertation / Thesis -
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Optimizing energy and reserve minimization in a sustainable microgrid with electric vehicle integration: dynamic and adjustable manta ray foraging algorithm
Published 2023“…Simulation evaluations conducted based on a practical microgrid environment validate the effectiveness of our wind–solar energy storage and management strategy. …”
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Evaluation of XML documents queries based on native XML database
Published 2016“…This study is to evaluate the Native XML database (NXD) performance in a comparison with XML_Enabled Database (XED), and then to ellhance· Entity Relationship (ER) algorithm of the relational schema for the improvement of Insert, Delete, Update and Search XML document (XML files with a large number of elements) and finally, to validate the algorithm in NXD and compare the performance ofXED and NXD, by implementing the same command and control data model. …”
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Thesis -
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State of charge estimation of lithium-ion batteries in an electric vehicle using hybrid metaheuristic - deep neural networks models
Published 2025“…This study proposes a novel approach for SoC estimation in BMW EVs by integrating a metaheuristic algorithm with deep neural networks. Specifically, teaching-learning based optimization (TLBO) is employed to optimize the weights and biases of the deep neural networks model, enhancing estimation accuracy. …”
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Power System State Estimation In Large-Scale Networks
Published 2010“…The gain and the Jacobian matrices associated with the basic algorithm require large storage and have to be evaluated at every iteration, resulting in more computation time. …”
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Thesis -
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Artificial intelligence system for pineapple variety classification and its quality evaluation during storage using infrared thermal imaging
Published 2022“…In the present study, infrared thermal imaging was used to determine the variety classification and quality attributes of pineapples, specifically total soluble solids (TSS), moisture content, pH, colour changes, and firmness based on various storage conditions (storage temperatures and storage days). …”
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Optimal PI controller based PSO optimization for PV inverter using SPWM techniques
Published 2023Article -
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Optimization algorithms for energy storage integrated microgrid performance enhancement
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Pumped-storage scheduling using particle swarm optimization / Amirul Asraf Razali
Published 2012“…This thesis presents the solution algorithm based on the particle swarm optimization (PSO) for solving the pumped-storage (P/S) scheduling problem. …”
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Thesis -
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State-of-charge estimation for lithium-ion batteries with optimized self-supervised transformer deep learning model
Published 2023“…This study concludes that the proposed optimized Transformer model has great potential to be incorporated in Li-ion energy storage systems to estimate SOC with very low estimation error and broad applicability to various cell types. …”
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