Related references
Note: Only part of the references are listed.
Article
Computer Science, Artificial Intelligence
Wenhua Li et al.
Summary: This study proposes several benchmark problems with multiple local Pareto fronts and an evolutionary algorithm with a hierarchy ranking method (HREA) to find both the global and local Pareto fronts. Experimental results show that HREA is competitive compared with other state-of-the-art MMEAs for solving the chosen benchmark problems.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
(2023)
Article
Computer Science, Information Systems
Mohamed Abdeen et al.
Summary: This paper proposes a fuzzy logic controller to compute the gain of a supplementary damping controller based on wind speed and the error between measured and reference line currents. The effectiveness and robustness of the proposed method are validated through MATLAB/SIMULINK simulations at different operating points, achieving maximum transmittable power and sub-synchronous resonance damping in all studied cases.
Article
Energy & Fuels
Wenbai Zhang et al.
Summary: This paper proposes a maglev train operation control method based on a fractional-order sliding mode adaptive and diagonal recurrent neural network (FSMA-DRNN) to improve the accuracy of speed profile tracking calculation. By considering three types of resistance during actual train operation, namely air resistance, guide eddy current resistance, and suspension frame generator coil resistance, a kinematic resistance equation is established. The FSMA-DRNN control law and parameter update law are then designed, and a FSMA-DRNN operation controller composed of speed feed forward, fractional-order sliding mode adaptive equivalent control, and diagonal recurrent neural network resistance compensation is developed. The effectiveness and superiority of the proposed approaches are verified through experiments on the high-speed maglev hardware-in-the-loop simulation platform Rt-Lab, using the Shanghai maglev's 29.86 km test line and a five-car train.
Article
Energy & Fuels
Younes Zahraoui et al.
Summary: An improved fractional-order sliding mode control (FOSMC) for PMSM is proposed in this study, which sets the parameters and enhances the drive performance of PMSMs. A neural network algorithm with reinforcement learning (RLNNA) is used to determine the optimal parameters for controlling speed, and the FOSMC parameters are adapted through reinforcement learning. The proposed RLNNA-FOSMC controller achieves faster convergence and improved tracking accuracy in the PMSM speed control system.
Article
Energy & Fuels
Naamane Debdouche et al.
Summary: This study proposes a simplified super-twisting algorithm (SSTA) control strategy to improve the power quality of grid-connected photovoltaic (PV) power systems. The strategy considers issues such as power factor, reducing total harmonic distortion (THD), compensating reactive power, and injecting energy into the grid with non-linear loads. The proposed control strategy involves controlling both the boost DC-DC converter and the DC-AC inverter. The results show the effectiveness and feasibility of the SSTA technique in different conditions.
Article
Physics, Multidisciplinary
Dianjun Gong et al.
Summary: This paper focuses on the command-filter control of nonstrict-feedback incommensurate fractional-order systems. Fuzzy systems were used to approximate nonlinear systems, and an adaptive update law was designed to estimate the approximation errors. To address the dimension explosion phenomenon in the backstepping process, a fractional-order filter was designed and the command filter control technique was applied. The proposed control approach ensured semiglobal stability of the closed-loop system and convergence of the tracking error to a small neighbourhood of equilibrium points. Finally, the developed controller was validated through simulation examples.
Article
Habib Benbouhenni
Journal of Applied Research and Technology
(2023)
Article
Green & Sustainable Science & Technology
Weichao He et al.
Summary: In this paper, a novel fractional-order active disturbance rejection controller based on an improved marine predator algorithm has been designed to enhance the response speed, stability, and disturbance rejection capabilities of load frequency control in renewable energy power systems. The wide frequency-response range and non-local memory of the controller enable more accurate prediction and compensation of rapid oscillations in the system. The improved marine predator algorithm is utilized for efficient parameter tuning, contributing to a more precise adjustment of the controller. Simulation results demonstrate that the proposed control strategy effectively minimizes the undershoot and overshoot of frequency deviation in the power system, leading to a faster stabilization of load frequency and enhanced power quality.
Article
Multidisciplinary Sciences
Yi Jin et al.
Summary: This study investigates the state consensus problem for a class of nonlinear fractional-order multi-agent systems (FOMASs) using a dynamics event-triggered sliding mode control approach. The main objective is to steer all agents to some bounded position based on their own information and the information of neighbor agents. Unlike previous results, both asymptotic consensus problem and Zeno-free behavior are ensured simultaneously. To achieve this, a novel event-triggered sliding mode control approach is proposed, consisting of distributed dynamic event-triggered schemes, event-triggered sliding mode controllers, and auxiliary switching functions. Additionally, a fractional-order adaptive law is developed to tune the coupling weight in the distributed control scheme. The improved distributed control scheme guarantees consensus and boundedness of all signals in the fractional-order closed-loop systems and provides a novel approach to avoid Zeno behavior. The effectiveness and availability of the approach are demonstrated through a numerical example.
Article
Chemistry, Multidisciplinary
Nicola Paolino et al.
Summary: This paper investigates the performance of a fractional-order PID regulator for controlling the Depth of Hypnosis during total intravenous anesthesia. Two different methodologies, genetic algorithms and isodamping approach, were used to tune the controller and the results were compared with a standard PID controller. The study shows that while a fractional-order PID controller can effectively control the Depth of Hypnosis, the improvement over a standard PID controller is marginal.
APPLIED SCIENCES-BASEL
(2023)
Article
Chemistry, Multidisciplinary
Rui Tang et al.
Summary: This paper proposes an optimized fractional-order PID (FOPID) method to suppress vibrations of high-speed elevators. The effectiveness of the controller in reducing elevator vibration was verified through numerical simulation. The results indicate that the FOPID controller significantly reduces horizontal acceleration compared to no controller and conventional PID controller.
APPLIED SCIENCES-BASEL
(2023)
Article
Computer Science, Artificial Intelligence
Wenhua Li et al.
Summary: Multimodal multi-objective problems (MMOPs) are common in the real world, where distant solutions in decision space have very similar objective values. To obtain more Pareto optimal solutions for MMOPs, many multimodal multi-objective evolutionary algorithms (MMEAs) have been proposed. However, there have been few studies comparing the performance of representative MMEAs. In this study, we review the related works and compare the performance of 15 state-of-the-art algorithms utilizing different diversity-maintaining techniques on various types of MMOPs, providing guidance for selecting/designing MMEAs in specific scenarios.
SWARM AND EVOLUTIONARY COMPUTATION
(2023)
Article
Computer Science, Information Systems
Brahim Deffaf et al.
Summary: A new controller based on a fractional-order synergetic controller (FOSC) is proposed for a three-level T-type inverter using a shunt active power filter (SAPF). The proposed FOSC technique enhances the SAPF's ability to compensate for current harmonics and reactive power in all situations involving non-linear loads and source voltage variations. The results indicate that the proposed FOSC technique outperformed the traditional control in terms of DC voltage tracking and the minimization of the total harmonic distortion of the current.
Article
Engineering, Mechanical
He Li et al.
Summary: In this paper, the problem of simultaneous fault detection and reliable control (SFDC) for fractional-order linear systems in the finite frequency domain is investigated. A dynamic observer is designed for fault detection and state estimation. The proposed dynamic-observer-based controller achieves better H-8 performance. The design conditions for the detector and controller are derived based on the generalized KYP lemma to achieve H- fault sensitivity performance and H-8 interference attenuation performance in the limited frequency domain, resulting in improved disturbance attenuation and fault sensitivity performance. Simulation results confirm the effectiveness of the designed method.
Article
Engineering, Electrical & Electronic
Jiacheng Li et al.
Summary: This paper focuses on the low tracking accuracy and weak anti-interference ability of quadcopter drones in trajectory-tracking control. By establishing the quadcopter quaternion model, a controller based on quaternion error is designed through a combination of fractional-order PID control with S-plane control. Trajectory-tracking experiments demonstrate that, in comparison with fractional-order PID, this method exhibits strong wind disturbance resistance and high tracking accuracy.
Article
Engineering, Electrical & Electronic
Dong-Ho Kim et al.
Summary: This study proposes a spoke-type PMSG rotor shape design for low capacity wind turbines that considers magnetization and cogging torques. The rotor shape with improved magnetization performance is designed by analyzing the principle of magnetization and the factors influencing magnetization performance. An asymmetric rotor barrier structure is applied to reduce the cogging torque, and the performance of the final model is analyzed using finite element analysis. The temperature saturation during the operation of the final model is analyzed using a thermal network method, and the irreversible demagnetization is validated.
Article
Mathematics, Interdisciplinary Applications
Lei Ren et al.
Summary: This paper introduces a four-dimensional fractional-order chaotic system with cross-product nonlinearities. The stability of the equilibrium points is analyzed and feedback control design is implemented to achieve this goal. Furthermore, various dynamical behaviors such as phase portraits, bifurcation diagrams, and the largest Lyapunov exponent are presented. The global Mittag-Leffler attractive sets and Mittag-Leffler positive invariant sets of the considered fractional order system are also discussed. Numerical simulations are provided to demonstrate the effectiveness of the results.
FRACTAL AND FRACTIONAL
(2023)
Article
Mathematics, Interdisciplinary Applications
Masoud S. Bahraini et al.
Summary: In this paper, a robust adaptive fuzzy fractional control strategy is proposed for stabilizing nonlinear chaotic systems with uncertainties. The strategy combines a fuzzy logic controller with fractional-order calculus to accurately model the system's behavior and adapt to uncertainties in real-time. The proposed controller based on a supervised sliding mode controller and an optimal robust adaptive fractional PID controller proved to outperform a recently introduced controller in the literature, improving the response of the system and demonstrating the effectiveness and robustness of the approach. The presented results provide strong evidence of the potential of the proposed strategy in a range of applications involving nonlinear chaotic systems with uncertainties.
FRACTAL AND FRACTIONAL
(2023)
Article
Engineering, Electrical & Electronic
Satish Kumar Gudey et al.
Summary: This paper proposes a new direct torque control technique with space vector pulse width modulation (SVPWM) using fractional-order sliding mode control (FOSMC) for electric drive systems in electric vehicles (EVs). The effectiveness of this proposed controller is compared with a conventional proportional-integral controller and a conventional sliding mode controller (SMC). Simulation results demonstrate the advantage of the proposed controller in reducing torque ripples and improving the utilization of stator flux.
WORLD ELECTRIC VEHICLE JOURNAL
(2023)
Article
Mathematics
Muhammad Zeeshan Malik et al.
Summary: In this study, a novel and sophisticated graphical tuning approach for designing TID controllers customized for fractional-order interval plants with parametric uncertainties is proposed. By leveraging the powerful value set concept and the advanced D-composition technique, a comprehensive set of stabilizing TID controllers is obtained. The validity and effectiveness of the proposed methodology are demonstrated through illustrative examples.
Article
Energy & Fuels
Hamza Gasmi et al.
Summary: This paper improves the performance and efficacy of the super-twisting algorithm (STA) by using fractional calculus theory (FCT) and proposes a new form of the STA controller based on FCT technique for controlling the asynchronous generator (AG)-based wind power system (WPS). Objective functions are calculated to improve the characteristics and quality of reactive power, active power, and electric current. The proposed STA-FCT controller shows better performance and improves the features of indirect field-oriented control (IFOC) for AG-based WPS.
Article
Computer Science, Information Systems
L. Djilali et al.
Summary: This paper develops a Neural High Order Sliding Mode (NHOSM) control for Doubly Fed Induction Generator (DFIG) based Wind Turbine (WT). The proposed control scheme integrates Recurrent High Order Neural Network (RHONN), Extended Kalman Filter (EKF), and Super-Twisting (ST) algorithm to enhance robustness, reduce chattering, and improve the quality and quantity of generated power.
IEEE LATIN AMERICA TRANSACTIONS
(2022)
Article
Automation & Control Systems
Jian Sun et al.
Summary: With the rapid increase in data measurement from power grids, machine learning research in transient control has gained significant attention. This article proposes a sparse neural network based reinforcement learning scheme for optimizing the transient stability enhancement of power grids with energy storage systems. The simulation results confirm the feasibility, advantages, and adaptability of the proposed method.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Computer Science, Information Systems
Houda El Alami et al.
Summary: This paper presents a new contribution of the nonlinear control technique in harnessing electrical energy in a wind energy system. The proposed model uses the nonlinear sliding mode technique to control the power of the DFIG-Generator, which is connected to the power grid via two converters. The model is validated through tracking and robustness tests using real wind speed. The control system is developed using Matlab/Simulink, and the FPGA in the Loop technique is employed to design the DFIG model. Through co-simulation, the proposed model demonstrates high efficiency in terms of speed and robustness, with a THD rate of 0.95, and the sliding mode controller shows significant improvement in the quality of energy produced by the wind system.
Article
Automation & Control Systems
Habib Benbouhenni et al.
Summary: In this work, a new direct power synergetic-sliding mode technique based on PWM strategy is designed for DFIG integrated to DRWP systems. The designed strategies produce voltage pulse width locations identical to those of a classical two-level inverter. Compared with traditional control methods, this novel strategy can effectively minimize the undulations of power and improve stability.
Article
Automation & Control Systems
Fayssal Amrane et al.
Summary: This paper proposes an experimental implementation study of a Wind Energy Conversion System (WECS) based on efficient Direct Power Control (DPC). It focuses on the stand-alone mode for variable wind speed application using Doubly-Fed Induction Generator (DFIG). The study shows that using IP controllers instead of traditional PI controllers and implementing LCL-Type filters can improve the power quality and wind power performance.
Article
Engineering, Electrical & Electronic
Hamza Gasmi et al.
Summary: This study presents the modeling, control, and simulation of a wind energy conversion system equipped with a doubly fed induction generator. A fractional-order proportional-integral super twisting sliding mode controller is used for maximum power point tracking and control of active and reactive power injected into the grid. Simulation results show that the proposed controller significantly reduces chattering and ensures robustness against parametric variations.
JOURNAL OF POWER ELECTRONICS
(2022)
Article
Computer Science, Information Systems
Habib Benbouhenni et al.
Summary: In recent years, there has been increasing development in the methods of controlling electrical machines to reduce fluctuations in torque and electric current in renewable energy systems. This study proposes a new method that combines nonlinear area and fractional calculus to reduce current and torque fluctuations and improve current quality.
Review
Energy & Fuels
Habib Benbouhenni et al.
Summary: This paper presents a novel direct power control (DPC) method based on PD and PI controllers with a simplified space vector modulation strategy for driving variable-speed multi-rotor wind turbine using a doubly-fed asynchronous generator. The proposed control method reduces the power ripples and current distortion, and improves the current quality compared to the conventional direct power control scheme. It achieves a high current quality, reduces steady-state errors, and improves the response dynamic of the generator.
Article
Multidisciplinary Sciences
Farah Echiheb et al.
Summary: This paper presents a new approach to improve the control techniques of wind systems and enhance the quality of energy produced in the grid. By utilizing the adaptive Backstepping technique in the sliding mode model, the issue of chattering in the double-fed asynchronous generator's power control is resolved. This hybrid technique improves the efficiency, active power, and reactive power of the wind system by correcting errors and enhancing precision and stability.
SCIENTIFIC REPORTS
(2022)
Article
Energy & Fuels
Ravikiran Hiremath et al.
Summary: This paper proposes a modified super twisting algorithm for the DFIG system under low voltage sag condition. The algorithm uses second-order sliding mode control and introduces higher-order switching functions for sliding surface control. The Lyapunov analysis is utilized to reduce chattering amplitude. The proposed algorithm reduces system uncertainties and chattering effect, and improves the settling period of system parameters.
Article
Energy & Fuels
Said Mahfoud et al.
Summary: Direct Torque Control (DTC) offers an optimal solution for controlling the behaviors of alternative motors, but speed overshoots, fluxes, and torque ripples remain challenges. The lack of robustness of the PID controller in nonlinear systems has led to the application of optimization algorithms to adjust its parameters. This approach has been shown to enhance system performance in the presence of nonlinearity.
Article
Engineering, Electrical & Electronic
Rui Zhou et al.
Summary: Virtual testing plays a crucial role in developing connected and automated vehicles, with the proposed genetic algorithm-based framework addressing the issue of data scarcity and showing effectiveness in generating challenging scenarios.
IEEE JOURNAL OF RADIO FREQUENCY IDENTIFICATION
(2022)
Article
Computer Science, Information Systems
Rania Gamal Mohamed et al.
Summary: A new optimal control strategy for the grid side converter and rotor side converter of a DFIG is developed using the MPA. The strategy is compared with the PSO and proves to enhance the transient stability of large-scale wind systems. The proposed control strategy is validated through simulation and shows superior dynamic performance compared to traditional controllers.
Article
Engineering, Electrical & Electronic
H. Benbouhenni et al.
Summary: In this study, the amelioration of direct power control using synergetic-super twisting algorithms for asynchronous generators in dual-rotor wind turbine systems was presented. The novel control strategy based on synergetic command and super twisting algorithms demonstrated robustness against parameter changes and disturbances, resulting in improved power quality. Results show that the synergetic-super twisting algorithms outperformed traditional strategies by minimizing torque and power undulations, and reducing harmonic distortion of stator current.
ELECTRICAL ENGINEERING & ELECTROMECHANICS
(2021)
Article
Engineering, Multidisciplinary
Mohamed F. El-Naggar et al.
Summary: This study introduces an optimal PI controller optimized by elephant herding algorithm for grid-tied switched reluctance generator to enhance low voltage ride through capability during faulty conditions. The optimized controller regulates the off-delay angle of the generator to maintain voltage within acceptable limits at the connection point, ensuring compliance with grid codes. Comparison with other optimization techniques shows the effectiveness of the EHA method.
AIN SHAMS ENGINEERING JOURNAL
(2021)
Article
Computer Science, Information Systems
Manale Bouderbala et al.
Summary: The study aims to design a real-time current predictive control system for DFIG, validated through simulation and experimental tests. By guiding the converter voltage output with predictive current control, the system achieves set points and power regulation. Field-oriented control is used to decouple components and ensure stable operation of WECS.
Article
Computer Science, Information Systems
Mohammed Taoussi et al.
Summary: A novel hybrid control approach has been developed to improve the dynamic response and performance of a doubly-fed induction generator (DFIG) system, providing high energy quality while avoiding harmonic accumulations.
Article
Energy & Fuels
Boaz Wadawa et al.
Summary: This paper proposes a strategy for hybrid control of variable speed wind turbines connected to the grid using a Double Fed Induction Generator (DFIG). By comparing different controllers and implementing new mixed controllers, a simple, robust, (PI&PID-Fd)-H∞ hybrid control system is presented. This system shows good performance in a practical wind power model, improving energy conversion efficiency and reducing system harmonic distortion.
Article
Energy & Fuels
Hamid Chojaa et al.
Summary: A robust integral sliding mode control (ISMC) with Lyapunov function was proposed for controlling the active and reactive powers of a doubly fed induction generator (DFIG) based wind turbine, achieving high dynamic performances. Through a robust MPPT algorithm with mechanical speed control and artificial Neural Network Controller (ANNC), the system operated around an optimal rotational speed to extract maximum power. The effectiveness and robustness of the control methods were demonstrated through testing in MATLAB/Simulink environment, showing superior performance in dynamic response, total harmonic distortion, reference tracking ability, etc.
Article
Energy & Fuels
Mahmoud A. Mossa et al.
Summary: This paper introduces a predictive polar flux control (PPFC) scheme for a variable speed wind driven doubly fed induction generator (DFIG) without speed sensor. The PPFC operation is based on power angle regulation and utilizes a robust observer designed using back-stepping theory to estimate multiple variables. An efficient maximum power point tracking (MPPT) scheme is also designed for optimal wind power exploitation. The PPFC enhances DFIG performance compared to classic predictive torque control (PTC) technique, resulting in reduced ripples and switching frequency, while the designed observer successfully estimates specified variables with high precision.
Article
Energy & Fuels
Younes Sahri et al.
Summary: A new direct power control (DPC) strategy based on machine learning, Neural-Network- and Neuro-Fuzzy-DPC (NN- and NF-DPC), is proposed in this paper to improve the power output control issues of Wind Turbine (WT)-based Doubly-Fed Induction Generator (DFIG) system. Simulation tests using MATLAB software confirmed the effectiveness of both controls, showing that the NF-DPC strategy performs better than NN-DPC and conventional control, with fast response, robustness, less power ripples, and reduced Total Harmonic Distortion (THD) in the generated currents.
Article
Mathematics
Habib Benbouhenni et al.
Summary: This paper aims to increase the active/reactive power extracted from DFIG-based DRWP by optimizing its operation using advanced direct vector control, achieving good performance in a 1.5 MW DRWP under variable wind speed conditions. The use of DVC and neural network design improves response time, stability, and precision, with a low total harmonic distortion value for stator current.
Article
Mathematics
Mohammed Mazen Alhato et al.
Summary: This paper proposes an enhancement method to improve the performance of DC-link voltage loop regulation in a DFIG-based wind energy converter, utilizing a combination of metaheuristics-tuned SOSM controller and adaptive fuzzy-scheduled ESO. Advanced metaheuristics are considered to solve the constrained optimization problem, demonstrating the proposed control scheme's superiority and effectiveness in terms of grid disturbances rejection, closed-loop tracking performance, and robustness against chattering phenomenon in simulation results.
Article
Energy & Fuels
Habib Benbouhenni et al.
Summary: A new DFOC strategy based on third-order sliding mode control is designed to minimize oscillations and THD value of the current and active power of ASG, improving the effectiveness of variable speed DRWP systems. By using the designed TOSM controllers, the traditional inverters' THD current and active power undulations can be minimized simultaneously, and the stator current becomes more like a sinusoidal form.
Article
Computer Science, Information Systems
Habib Benbouhenni et al.
Summary: A terminal synergetic control method is proposed in this work for improving the performance of ASG-based dual-rotor wind power systems. Simulation results showed the robustness of the method against parameter variations and its effectiveness in power undulations. The proposed TSC was shown to be more effective than the traditional PI controller in tracking power and minimizing the undulations effect.
Article
Mathematics
Habib Benbouhenni et al.
Summary: This work proposed a third-order sliding mode controller-based direct flux and torque control technique to enhance the efficiency of an asynchronous generator. By eliminating the drawbacks of traditional PI regulators, the control strategy was improved, and the effectiveness of the designed strategy was evaluated through numerical simulations compared to the traditional strategy.
Article
Computer Science, Interdisciplinary Applications
W. Ayrir et al.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2020)
Article
Engineering, Electrical & Electronic
Mohamed I. Mosaad
IET ELECTRIC POWER APPLICATIONS
(2020)
Article
Energy & Fuels
Filip Kutt et al.
Article
Computer Science, Information Systems
O. Llerena-Pizarro et al.
IEEE LATIN AMERICA TRANSACTIONS
(2020)
Article
Computer Science, Artificial Intelligence
Zi-Xiao Wei et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2020)
Article
Mathematics
Mohammed Mazen Alhato et al.
Article
Computer Science, Information Systems
Rizk Masoud Rizk-Allah et al.
Article
Computer Science, Information Systems
Alok Kumar Mishra et al.
Article
Computer Science, Information Systems
Rashidul Islam et al.
Article
Computer Science, Information Systems
Jian Zhong Shi
Article
Computer Science, Information Systems
Hesham M. Fekry et al.
Article
Engineering, Civil
Fares M'zoughi et al.
IEEE JOURNAL OF OCEANIC ENGINEERING
(2019)
Article
Energy & Fuels
Mircea Neagoe et al.
Article
Chemistry, Multidisciplinary
Yu Quan et al.
APPLIED SCIENCES-BASEL
(2019)
Article
Computer Science, Information Systems
Kamran Zeb et al.
Article
Thermodynamics
Michal Lipian et al.
Article
Engineering, Multidisciplinary
Nima Rezaei et al.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2019)
Article
Automation & Control Systems
N. Bounar et al.
Article
Computer Science, Information Systems
A. Ferrari et al.
IEEE LATIN AMERICA TRANSACTIONS
(2019)
Article
Mathematics, Interdisciplinary Applications
Mohammed Mazen Alhato et al.
MATHEMATICAL AND COMPUTATIONAL APPLICATIONS
(2019)
Article
Energy & Fuels
Kaishun Xiahou et al.
IEEE TRANSACTIONS ON ENERGY CONVERSION
(2018)
Article
Chemistry, Multidisciplinary
Xichao Su et al.
APPLIED SCIENCES-BASEL
(2018)
Article
Engineering, Multidisciplinary
Xiaohe Wang et al.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2017)
Article
Computer Science, Artificial Intelligence
Zinelaabidine Boudjema et al.
TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES
(2017)
Article
Green & Sustainable Science & Technology
Ahmadreza Vasel-Be-Hagh et al.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2017)
Article
Energy & Fuels
Behnam Moghadassian et al.
Article
Engineering, Electrical & Electronic
Pinghua Xiong et al.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2016)
Article
Computer Science, Artificial Intelligence
Seyyed Mostafa Nosratabadi et al.
TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES
(2016)
Article
Green & Sustainable Science & Technology
S. Krishnama Raju et al.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2016)
Article
Green & Sustainable Science & Technology
Satyajit Mohanty et al.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2016)
Article
Computer Science, Information Systems
Yi-Fei Pu
Article
Engineering, Electrical & Electronic
Lin-Yu Lu et al.
IEEE JOURNAL ON EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS
(2015)
Article
Computer Science, Artificial Intelligence
Roozbeh Razavi-Far et al.
EXPERT SYSTEMS WITH APPLICATIONS
(2014)
Article
Automation & Control Systems
Li Yu et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2014)
Article
Green & Sustainable Science & Technology
Jafar Mohammadi et al.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2014)
Article
Energy & Fuels
Carolina Evangelista et al.
IEEE TRANSACTIONS ON ENERGY CONVERSION
(2013)
Article
Energy & Fuels
Lei Shang et al.
IEEE TRANSACTIONS ON ENERGY CONVERSION
(2012)
Article
Computer Science, Artificial Intelligence
A. L. Elshafei et al.
EXPERT SYSTEMS WITH APPLICATIONS
(2011)
Article
Green & Sustainable Science & Technology
Hany M. Jabr et al.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2011)
Article
Engineering, Electrical & Electronic
Van-Tung Phan et al.
JOURNAL OF POWER ELECTRONICS
(2010)
Article
Engineering, Electrical & Electronic
Yun-Seong Kim et al.
IEEE TRANSACTIONS ON POWER DELIVERY
(2009)
