Search Results - (( variable integration acs algorithm ) OR ( java application customization algorithm ))

A Modified Approach For Load Flow Analysis Of Integrated AC-DC Power Systems by Mustafa, M.W., Abd Kadir, Aida Fazliana

“…The paper exposed us to the integration of HVDC link with an AC power system. Variables of the direct current link which have been chosen for simulation are the converter terminal DC voltages, converter transformer tap ratios, firing angle of the rectifier and current in the HVDC link. …”
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Optimal operation and control of hybrid power systems with stochastic renewables and FACTS devices: An intelligent multi-objective optimization approach by Premkumar M., Hashim T.J.T., Ravichandran S., Sin T.C., Chandran R., Alsoud A.R., Jangir P.

“…The research originally integrates stochastic photovoltaic and wind energy sources, along with a suite of Flexible AC Transmission System (FACTS) components ? …”

A bacteria foraging algorithm for solving integrated multi-period cell formation and subcontracting production planning in a dynamic cellular manufacturing system by Tang, Sai Hong, Nouri, Hossein, Motlagh, Omid Reza Esmaeili

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Solving the optimal power flow problems using the superiority of feasible solutions-moth flame optimizer by Alam, Mohammad Khurshed

“…The main goal of this study is to use a cuttingedge version of recent metaheuristic algorithm, namely Moth-Flame Optimizer (MFO) algorithm for solving the mentioned OPF problems. …”
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Solar power inverter by Mohd Hafizuddin, Mohamed Ariffin

“…The controller executes the very precise algorithms required to invert the DC voltage generated by the solar module into AC This controller is programmed to perform the control loops necessary for all the power management functions necessary including DC/DC and DC/AC.…”
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Long-term electrical energy consumption: Formulating and forecasting via optimized gene expression programming / Seyed Hamidreza Aghay Kaboli by Seyed Hamidreza , Aghay Kaboli

“…To assess the applicability and accuracy of the proposed method for long-term electrical energy consumption, its estimates are compared with those obtained from artificial neural network (ANN), support vector regression (SVR), adaptive neuro-fuzzy inference system (ANFIS), rule-based data mining algorithm, GEP, linear, quadratic and exponential models optimized by particle swarm optimization (PSO), cuckoo search algorithm (CSA), artificial cooperative search (ACS) algorithm and backtracking search algorithm (BSA). …”
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Enhancing obfuscation technique for protecting source code against software reverse engineering by Mahfoudh, Asma

“…The proposed technique can be enhanced in the future to protect games applications and mobile applications that are developed by java; it can improve the software development industry. …”
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Short-Term forecasting of floating photovoltaic power generation using machine learning models by Mohd Herwan, Sulaiman, Mohd Shawal, Jadin, Zuriani, Mustaffa, Mohd Nurulakla, Mohd Azlan, Hamdan, Daniyal

“…Data were collected at 15-minute intervals from January 15 to January 21, 2024, encompassing nine input features such as ambient temperature, transient horizontal irradiation, daily horizontal irradiation, AC voltages, and AC currents for phases A, B, and C, with the total active power in kW as the target variable. …”
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Predictors on outcomes of cardiovascular disease of male patients in Malaysia using Bayesian network analysis by Nurliyana Juhan, Yong Zulina Zubairi, Ahmad Syadi Mahmood Zuhdi, Zarina Mohd Khalid

“…A bootstrap resampling approach was integrated into the structural learning algorithm to estimate probabilistic relations between the studied features that have the strongest influence and support. …”
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Matheuristic approach for production-inventorydistribution routing problem by Kyee, Dicky Lim Teik, Moin, Noor Hasnah

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Forecasting and Trading of the Stable Cryptocurrencies With Machine Learning and Deep Learning Algorithms for Market Conditions by Shamshad, H., Ullah, F., Ullah, A., Kebande, V.R., Ullah, S., Al-Dhaqm, A.

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Online PID controller tuning using tree physiology optimization by Halim, A.H., Ismail, I.

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A PLC-based Hybrid Fuzzy PID Controller for PWM-driven Variable Speed Drive by ARROFIQ, MUHAMMAD

“…This thesis proposed a design and implementation of a PLC-based hybrid controller from a basic PLC to a PWM-driven variable-voltage variable-frequency (VVVF) speed control of an induction motor and the analysis, evaluation and improvement of the control strategies. …”
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A simple model-free butterfly shape-based detection (BSD) method integrated with deep learning CNN for valve stiction detection and quantification by Kamaruddin, B., Zabiri, H., Mohd Amiruddin, A.A.A., Teh, W.K., Ramasamy, M., Jeremiah, S.S.

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Switching techniques and intelligent controllers for induction motor drive: Issues and recommendations by Hannan M.A., Ali J.A., Ker P.J., Mohamed A., Lipu M.S.H., Hussain A.

Design & Development of a Robotic System Using LEGO Mindstorm by Abd Manap, Nurulfajar, Md Salim, Sani Irwan, Haron, Nor Zaidi

“…Since the model is built using LEGO bricks, the model is fully customized, in term of its applications, to perform any relevant tasks. …”
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Modelling knowledge transfer of nursing students during clinical placement / Nor Azairiah Fatimah Othman by Othman, Nor Azairiah Fatimah

“…Subsequently, a newly control technique named as proportional-integral-derivative (PID) incorporated with flexible AC transmission (FACTS) device is proposed in this study to improve the damping capability of the system. …”
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Multi-objective Sustainability Assessment of Levulinic Acid Production from Empty Fruit Bunch by Hafyan, R.H., Bhullar, L., Putra, Z.A., Bilad, M.R., Wirzal, M.D.H., Nordin, N.A.H.M.

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Advancing industrial building energy measurement and verification (M&V) with deep learning: Evaluating data size and feature selection impact by Sukarti, Suziee, Sulaima, Mohamad Fani, Abdul Kadir, Aida Fazliana, Shamsor, Muhamad Hafizul, Siaw, Wei Yao

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Assessment of flat, symmetric, and asymmetric CPC photovoltaic thermal air solar collectors for building façades using artificial Neural Network Modelling by Jarimi, Hasila, Wan Roshdan, Wan Nur Adilah, Al-Waeli, Ali H.A., Razak, Tajul Rosli, Ahmad, Emy Zairah, Syafiq, Ubaidah, Ibrahim, Adnan, Sopian, Kamaruzzaman

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