Search Results - (( global distributions impact algorithm ) OR ( peer evaluation model algorithm ))
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Meta-heuristic approaches for reservoir optimisation operation and investigation of climate change impact at Klang gate dam
Published 2023“…Consequently, seeking managing of reservoir optimisation operations had always been at the forefront and to improve managing, algorithms have had been presented over the past few decades, beginning with conventional algorithms, followed by heuristic algorithms, and finally, the meta-heuristic algorithms (MHAs). …”
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Final Year Project / Dissertation / Thesis -
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Adaptive Embedded Clonal Evolutionary Programming (AECEP) for optimal Distributed Generation (DG) location and sizing in a distribution system
Published 2013“…DG as a small scale generation sources located at or near load center is usually deployed within the distribution system. Installation of DG has many positive impacts such as reducing transmission and distribution network congestion, differing costly for upgrading process, and improving the overall system performance by reducing power losses and enhancing voltage profiles. …”
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Thesis -
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Evaluation of MLP-ANN Training Algorithms for Modeling Soil Pore-Water Pressure Responses to Rainfall
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Citation Index Journal -
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Tracking moving targets in wireless sensor networks using extended diffusion strategies of distributed Kalman filter
Published 2013“…The data aggregation is done in a set of neighborhood using instructions of recursive Kalman filter iterations with specific weights. The proposed algorithms provide precise state estimates in a moment as global state estimates using various updates at each step. …”
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Conference or Workshop Item -
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Sustainable energy management: Artificial intelligence-based electricity consumption prediction in limited dataset environment for industry applications
Published 2024“…It identified key economic and environmental clustered determinants that significantly impact electricity consumption in Malaysia. In academia, this study proposed an innovative SLR-MLR predictive algorithm and utilized a novel statistical approach to evaluate and select the superior predictive algorithm. …”
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Neural network ensemble: Evaluation of aggregation algorithms in electricity demand forecasting
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Conference or Workshop Item -
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Neural network ensemble: Evaluation of aggregation algorithms in electricity demand forecasting
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Conference or Workshop Item -
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Neural network ensemble: Evaluation of aggregation algorithms in electricity demand forecasting
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Conference or Workshop Item -
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Evaluation of the Transfer Learning Models in Wafer Defects Classification
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Conference or Workshop Item -
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Multistep forecasting for highly volatile data using new algorithm of Box-Jenkins and GARCH
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Conference or Workshop Item -
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