Search Results - probable distribution impact algorithm*

An impulsive noise analyser using amplitude probability distribution (APD) for broadband-wired communication by Zainal Abidin, Ahmadun Nijar

“…It is useful to correlate the characteristics of the noise with the bit error probability (BEP). The amplitude probability distribution (APD) has been proposed within CISPR for characterisation of the impulsive noise. …”
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Effect of pre-determined maintenance repair rates on the health index state distribution and performance condition curve based on the Markov Prediction Model for sustainable transf... by Yahaya M.S., Azis N., Selva A.M., Kadir M.Z.A.A., Jasni J., Hairi M.H., Ghazali Y.Z., Talib M.A.

Enhancing Power System Resilience Through Evolutionary Programming for High Impact Low Probability Events by Zakaria F., Musirin I., Kamari N.A.M., Aminuddin N., Johari D., Shaaya S.A., Bajwa A.A., Kumar A.V.S.

“…This paper presents enhancing power system resilience through evolutionary programming for high-impact low probability (HILP) events. Validation on IEEE 30-Bus Reliability Test System (RTS), solved using Evolutionary Programming (EP) under extreme weather demonstrates its capability in improving the power system resilience. …”

Transformer asset management based on Markov Prediction Model utilizing health index by Yahaya, Muhammad Sharil

“…The maintenance costs were estimated based on future-state distribution probabilities according to the developed MPM and the proposed maintenance policy model. …”
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Probabilistic load flow�based optimal placement and sizing of distributed generators by Hossain F.A., Rokonuzzaman M., Amin N., Zhang J., Mishu M.K., Tan W.-S., Islam M.R., Roy R.B.

“…Electric load flow; Environmental impact; Genetic algorithms; Investments; Location; Operating costs; Probability distributions; Distributed generation; Distributed generation resources; Distributed generators; Distribution network; Electrical energy demand; Flow based; Location optimization; Optimal placement and sizings; Probabilistic load flow; Distributed power generation…”

Adaptive load balancing algorithm for wireless distributed computing networks by Alfaqawi, Mohammed, Habaebi, Mohamed Hadi, Siddiqi, Mohammad Umar, Islam, Md. Rafiqul, Khan, Sheroz, Datla, Dinesh

“…Furthermore, the channel impact on the distributed tasks by ALB algorithm, in WDC-CRN, is investigated and benchmarked. …”
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Effect of pre-determined maintenance repair rates on the health index state distribution and performance condition curve based on the Markov prediction model for sustainable transf... by Yahaya, Muhammad Sharil, Azis, Norhafiz, Mohd Selva, Amran, Ab Kadir, Mohd Zainal Abidin, Jasni, Jasronita, Hairi, Mohd Hendra, Yang Ghazali, Young Zaidey, Talib, Mohd Aizam

“…Next, the HI state distribution and performance condition curve were analyzed based on the Markov chain algorithm. …”
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Effect of pre-determined maintenance repair rates on the Health Index state distribution and performance condition curve based on Markov Prediction Model for sustainable transforme... by Yahaya, Muhammad Sharil, Azis, Norhafiz, Mohd Selva, Amran, Ab Kadir, Mohd Zainal Abidin, Jasni, Jasronita, Hairi, Mohd Hendra, Yang Ghazali, Young Zaidey, Talib, Mohd Aizam

“…Next, the HI state distribution and performance condition curve were analyzed based on the Markov chain algorithm. …”
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Optimal planning of photovoltaic distributed generation considering uncertainties using monte carlo pdf embedded MVMO-SH by Norhafidzah, Mohd Saad

“…The impacts of PVDG on the power system network have been examined. …”
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Studying the Impact of Initialization for Population-Based Algorithms with Low-Discrepancy Sequences by Adnan Ashraf, Sobia Pervaiz, Waqas Haider Bangyal, Kashif Nisar, Ag. Asri Ag. Ibrahim, Joel J. P. C. Rodrigues, Danda B. Rawat

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Predictive Framework for Imbalance Dataset by Megat Norulazmi, Megat Mohamed Noor

“…Experimental results suggested that the class probability distribution function of a prediction model has to be closer to a training dataset; less skewed environment enable learning schemes to discover better function F in a bigger Fall space within a higher dimensional feature space, data sampling and partition size is appear to proportionally improve the precision and recall if class distribution ratios are balanced. …”
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A new optimisation framework based on Monte Carlo embedded hybrid variant mean–variance mapping considering uncertainties by Norhafidzah, Mohd Saad, Muhamad Zahim, Sujod, Mohd Ikhwan, Muhammad Ridzuan, Mohammad Fadhil, Abas, Mohd Shawal, Jadin, Mohd Fadzil, Abdul Kadir

“…The Active Power Loss (APL) index was calculated considering the risk of uncertain photovoltaic generation and urban load distributions. The Monte Carlo Probability Density Function method was initially used to manage uncertainties. …”
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Optimal Design and Performance Analysis of Hybrid Renewable Energy System for Ensuring Uninterrupted Power Supply During Load Shedding by BAKHT, MUHAMMAD PAEND, HAJI MOHD, MOHD NORZALI, USMAN ULLAH SHAIKH, USMAN ULLAH SHAIKH, NUZHAT KHAN, NUZHAT KHAN

“…Grasshopper optimization algorithm (GOA) is applied to simultaneously minimize the levelized electricity cost (LEC), payback period (PBP), and loss of power supply probability (LPSP). …”
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Optimal Design and Performance Analysis of Hybrid Renewable Energy System for Ensuring Uninterrupted Power Supply During Load Shedding by BAKHT, MUHAMMAD PAEND, HAJI MOHD, MOHD NORZALI, USMAN ULLAH SHAIKH, USMAN ULLAH SHAIKH, NUZHAT KHAN, NUZHAT KHAN

“…Grasshopper optimization algorithm (GOA) is applied to simultaneously minimize the levelized electricity cost (LEC), payback period (PBP), and loss of power supply probability (LPSP). …”
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Optimal Design and Performance Analysis of Hybrid Renewable Energy System for Ensuring Uninterrupted Power Supply During Load Shedding by BAKHT, MUHAMMAD PAEND, HAJI MOHD, MOHD NORZALI, SHAIKH, USMAN ULLAH, KHAN, NUZHAT

“…Grasshopper optimization algorithm (GOA) is applied to simultaneously minimize the levelized electricity cost (LEC), payback period (PBP), and loss of power supply probability (LPSP). …”
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Battery management optimization and lifecycle impact analysis for microgrid operation with V2G implementation / Muhammad Sufyan by Muhammad , Sufyan

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Development of a hybrid machine learning model for rockfall source and hazard assessment using laser scanning data and GIS by Fanos, Ali Mutar

“…Different machine learning algorithms (Artificial Neural Network [ANN], K Nearest Neighbor [KNN] and Support Vector Machine [SVM]) were tested individually and with various ensemble models (bagging, voting, and boosting) to detect the probability of the landslide and rockfall occurrences. …”
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Multi-objective portfolio selection with skewness preference: An application to the stock and electricity markets / Karoon Suksonghong by Karoon, Suksonghong

“…The superiority of this method is its ability to generate a set of MVS efficient portfolios within a single run of algorithm. The non-dominated sorting genetic algorithm II (NSGA-II), the improved strength Pareto evolutionary algorithm II (SPEA-II), and the compressed objective genetic algorithm II (COGA-II) were applied. …”
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Effective pilot assignment schemes in massive MIMO systems by Al-Hubaishi, Ahmed Saleh Noman

“…In the EPR-PPA scheme, two pilot sets are used in the network and the PPA algorithm is implemented in cells that cause low interference at the serving cell, which share the same pilot set. …”
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Multi-objective scientific workflow scheduling algorithm in multi-cloud environment for satisfying QoS requirements by Ramadhan, Mazen Farid Ebrahim

“…With the MOS-MWO algorithm, makespan is reduced by 40%, cost also reduced by 3 % and risk probability reduced by 86%. …”
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