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  1. 1
    Deep learning enabled state of charge, state of health and remaining useful life estimation for smart battery management system: Methods, implementations, issues and prospects

    Deep learning enabled state of charge, state of health and remaining useful life estimation for smart battery management system: Methods, implementations, issues and prospects by Hossain Lipu M.S., Ansari S., Miah M.S., Meraj S.T., Hasan K., Shihavuddin A.S.M., Hannan M.A., Muttaqi K.M., Hussain A.

    Published 2023
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  2. 2
    Advanced online battery states coestimation using Kalman filter for electric vehicle Applications / Prashant Shrivastava

    Advanced online battery states coestimation using Kalman filter for electric vehicle Applications / Prashant Shrivastava by Prashant , Shrivastava

    Published 2021
    “…In addition to co-estimation of SOC and SOE in the first method, the SOP estimation is performed by using identified Rint battery model parameters using the forgetting factor recursive least square (FFRLS) algorithm. …”
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  3. 3
    Singular Value Thresholding Algorithm for Wireless Sensor Network Localization

    Singular Value Thresholding Algorithm for Wireless Sensor Network Localization by Najib, Yasmeen Nadhirah Ahmad, Daud, Hanita, Abd Aziz, Azrina

    Published 2020
    “…This algorithm is a user-friendly algorithm which produces a low computational cost with low storage capacity required to give the lowest-rank minimum nuclear norm solution.…”
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  4. 4
    Power System State Estimation In Large-Scale Networks

    Power System State Estimation In Large-Scale Networks by NURSYARIZAL MOHD NOR, NURSYARIZAL

    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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  5. 5
    Real-Time State of Charge Estimation of Lithium-Ion Batteries Using Optimized Random Forest Regression Algorithm

    Real-Time State of Charge Estimation of Lithium-Ion Batteries Using Optimized Random Forest Regression Algorithm by Hossain Lipu M.S., Hannan M.A., Hussain A., Ansari S., Rahman S.A., Saad M.H.M., Muttaqi K.M.

    Published 2024
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  6. 6
    Optimization of multipurpose reservoir operation using evolutionary algorithms / Mohammed Heydari

    Optimization of multipurpose reservoir operation using evolutionary algorithms / Mohammed Heydari by Mohammed , Heydari

    Published 2017
    “…However, exceptionally, the accuracy of the GA algorithm was approximately 34% better than the HPSOGA algorithm for only the optimal storage capacity at Karun IV Dam. …”
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  7. 7
    Development of a building energy analysis package (BEAP) and its application to the analysis of cool thermal energy storage systems

    Development of a building energy analysis package (BEAP) and its application to the analysis of cool thermal energy storage systems by Senawi, M. Y.

    Published 2001
    “…Efficient methods of calculating custom weighting factors for load estimation using the transfer function method are also developed. …”
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  8. 8
    Determination Of Bukit Merah Reservoir Capacity Using Sequential Peak Analysis

    Determination Of Bukit Merah Reservoir Capacity Using Sequential Peak Analysis by Azhani, Aidatul Aznuraini Aidil

    Published 2022
    “…A sequent peak algorithm is a technique designed primarily to estimate the size of active storage by tracking the inflows and outflows over an interval. …”
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  9. 9
    Modeling and multi-objective optimal sizing of standalone photovoltaic system based on evolutionary algorithms

    Modeling and multi-objective optimal sizing of standalone photovoltaic system based on evolutionary algorithms by Ridha, Hussein Mohammed

    Published 2020
    “…Firstly, an improved EM (IEM) algorithm is presented to estimate the five parameters of the single PV-module system. …”
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  10. 10
    Gravitational Search Algorithm Based LSTM Deep Neural Network for Battery Capacity and Remaining Useful Life Prediction With Uncertainty

    Gravitational Search Algorithm Based LSTM Deep Neural Network for Battery Capacity and Remaining Useful Life Prediction With Uncertainty by Reza M.S., Hannan M.A., Mansor M.B., Ker P.J., Tiong S.K., Hossain M.J.

    Published 2025
    “…The proposed method is assessed using aging data from the NASA battery dataset. …”
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  11. 11
    Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection

    Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection by Nwogbaga, Nweso Emmanuel, Latip, Rohaya, Affendey, Lilly Suriani, Abdul Rahiman, Amir Rizaan

    Published 2022
    “…The proposed method uses a rank accuracy estimation model to decide the rank-1 value to be applied for the decomposition. …”
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  12. 12
    DESIGN AND DEVELOPMENT OF KEY REPRESENTATION AUDITING SCHEME FOR SECURE ONLINE AND DYNAMIC STATISTICAL DATABASES

    DESIGN AND DEVELOPMENT OF KEY REPRESENTATION AUDITING SCHEME FOR SECURE ONLINE AND DYNAMIC STATISTICAL DATABASES by ELSHIEKH MOHAMMED AHMED, ASIM ABDALLAH

    Published 2010
    “…A comparative study is made between the new scheme and the existing methods, namely a cost estimation and a statistical analysis are performed, and it illustrates the savings in block accesses (CPU time) and storage space that are attainable when a KRDB is used. …”
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  13. 13
    State of charge estimation of lithium-ion batteries in an electric vehicle using hybrid metaheuristic - deep neural networks models

    State of charge estimation of lithium-ion batteries in an electric vehicle using hybrid metaheuristic - deep neural networks models by Zuriani, Mustaffa, Mohd Herwan, Sulaiman, Isuwa, Jeremiah

    Published 2025
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  14. 14
    Multi-objective optimization of stand-alone hybrid renewable energy system by genetic algorithm

    Multi-objective optimization of stand-alone hybrid renewable energy system by genetic algorithm by Nejad, Mohsen Fadaee

    Published 2013
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  15. 15
    SOC Estimation Using Deep Bidirectional Gated Recurrent Units with Tree Parzen Estimator Hyperparameter Optimization

    SOC Estimation Using Deep Bidirectional Gated Recurrent Units with Tree Parzen Estimator Hyperparameter Optimization by How D.N.T., Hannan M.A., Lipu M.S.H., Ker P.J., Mansor M., Sahari K.S.M., Muttaqi K.M.

    Published 2023
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  16. 16
    Optimization of operational policies for the Minab Reservoir, Southern Iran

    Optimization of operational policies for the Minab Reservoir, Southern Iran by Gholampoor, Mohammad

    Published 2012
    “…Also, three triggers were estimated for use as guidelines for managing the reservoir during drought occurrence. …”
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  17. 17
    Optimum design of a standalone solar photovoltaic system based on novel integration of iterative-PESA-II and AHP-VIKOR methods

    Optimum design of a standalone solar photovoltaic system based on novel integration of iterative-PESA-II and AHP-VIKOR methods by Ridha, Hussein Mohammed, Gomes, Chandima, Hizam, Hashim, Ahmadipour, Masoud, Muhsen, Dhiaa Halboot, Ethaib, Saleem

    Published 2020
    “…In this study, a novel hybrid sizing approach was developed on the basis of techno-economic objectives to optimally size the SAPV system. The proposed hybrid method consisted of an intuitive method to estimate initial numbers of PV modules and storage battery, an iterative approach to accurately generate a set of wide ranges of optimal configurations, and a Pareto envelope-based selection algorithm (PESA-II) to reduce large configuration by efficacy obtaining a set of Pareto front (PF) solutions. …”
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  18. 18
    Multiple scenarios multi-objective salp swarm optimization for sizing of standalone photovoltaic system

    Multiple scenarios multi-objective salp swarm optimization for sizing of standalone photovoltaic system by Ridha, Hussein Mohammed, Gomes, Chandima, Hizam, Hashim, Mirjalili, Seyedali

    Published 2020
    “…An accurate estimation of the number of PV modules and storage battery is crucial as it affects the system reliability and cost. …”
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  19. 19
    Solving power system state estimation using orthogonal decomposition algorithm / Tey Siew Kian

    Solving power system state estimation using orthogonal decomposition algorithm / Tey Siew Kian by Tey, Siew Kian

    Published 2009
    “…The application of orthogonal decomposition method using Householder transformation (refer to section 3.3) is used to solve the least-squares problem in power system state estimation. …”
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  20. 20
    Optimum design of a standalone photovoltaic system based on integration of iterative-PESA-II and AHP-VICKOR methods

    Optimum design of a standalone photovoltaic system based on integration of iterative-PESA-II and AHP-VICKOR methods by Ridha, Hussein Mohammed, Gomes, Chandima, Hizam, Hashim, Ahmadipour, Masoud, Muhsen, Dhiaa Halboot, Ethaib, Saleem

    Published 2020
    “…In this study, a novel hybrid sizing approach was developed on the basis of techno-economic objectives to optimally size the SAPV system. The proposed hybrid method consisted of an intuitive method to estimate initial numbers of PV modules and storage battery, an iterative approach to accurately generate a set of wide ranges of optimal configurations, and a Pareto envelope-based selection algorithm (PESA-II) to reduce large configuration by efficacy obtaining a set of Pareto front (PF) solutions. …”
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