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Improved bacterial foraging optimization algorithm with machine learning-driven short-term electricity load forecasting: a case study in peninsular Malaysia by Zaini, Farah Anishah, Sulaima, Mohamad Fani, Wan Abdul Razak, Intan Azmira, Othman, Mohammad Lutfi, Mokhlis, Hazlie

“…Thus, these parameters of LSSVM need to be chosen appropriately using intelligent optimization algorithms. This study proposes a new hybrid model based on the LSSVM optimized by the improved bacterial foraging optimization algorithm (IBFOA) for forecasting the short-term daily electricity load in Peninsular Malaysia. …”
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Improved bacterial foraging optimization algorithm with machine learning driven short term electricity load forecasting: A case study in Peninsular Malaysia by Sulaima, Mohamad Fani, Zaini, Farah Anishah, Wan Abdul Razak, Intan Azmira, Othman, Mohammad Lutfi, Mokhlis, Hazlie

“…Thus, these parameters of LSSVM need to be chosen appropriately using intelligent optimization algorithms. This study proposes a new hybrid model based on the LSSVM optimized by the improved bacterial foraging optimization algorithm (IBFOA) for forecasting the short‑term daily electricity load in Peninsular Malaysia. …”
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Chiller energy prediction in commercial building : A metaheuristic-enhanced deep learning approach by Mohd Herwan, Sulaiman, Zuriani, Mustaffa

“…Drawing on a diverse dataset from a commercial building, encompassing vital input parameters such as Chilled Water Rate, Building Load, Cooling Water Temperature, Humidity, and Dew Point, the study conducts a comprehensive comparison of metaheuristic algorithms (Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Barnacles Mating Optimizer (BMO), Harmony Search Algorithm (HSA), Differential Evolution (DE), Ant Colony Optimization (ACO), and the latest RIME algorithm). …”
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Modified strut-and-tie models for reinforced concrete deep beams with externally bonded CFRP systems by Hanoon, Ammar Nasiri

“…An STM of unstrengthened concrete deep beam is modified in two cases: (1) deep beam strengthened with FRP sheet under static loads, and (2) deep beam subjected to different loading rates. …”
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Energy absorption evaluation of reinforced concrete beams under various loading rates based on particle swarm optimization technique by Hanoon, Ammar Nasiri, Jaafar, Mohd Saleh, Hejazi, Farzad, Abd Aziz, Farah Nora Aznieta

“…This study proposes an energy absorption model for predicting the effect of loading rates, concrete compressive strength, shear span-to-depth ratio, and longitudinal and transverse reinforcement ratio of reinforced concrete (RC) beams using the particle swarm optimization (PSO) technique. …”
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Optimal solar powered system for long houses in Sarawak by using homer tool by Mohd Radzi, Mohd Amran, Abd. Rahim, Nasrudin, Hang, Seng Che, Ohgaki, Hideaki, Farzaneh, Hooman, Shung, Wallace Hui Wong, Lai, Chean Hung

“…HOMER tool is used in this work which comes with the optimization algorithm to search for the least cost system. …”
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Optimal solar powered system for long houses in sarawak by using homer tool by Radzi, Mohd Amran Mohd, Rahim, Nasrudin Abd, Che, Hang Seng, Ohgaki, Hideaki, Farzaneh, Hooman, Wong, Wallace Shung Hui, Hung, Lai Chean

“…HOMER tool is used in this work which comes with the optimization algorithm to search for the least cost system. …”
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Economic Dispatch of Micro-grid Considering Electric Vehicles by Sheng S.W., Yee Y.S., Raymond W.J.K., Mei K.T.

The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush