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Mohd Herwan Sulaiman

Researcher at Universiti Malaysia Pahang

Publications -  145
Citations -  2195

Mohd Herwan Sulaiman is an academic researcher from Universiti Malaysia Pahang. The author has contributed to research in topics: Electric power system & Computer science. The author has an hindex of 19, co-authored 119 publications receiving 1582 citations. Previous affiliations of Mohd Herwan Sulaiman include Universiti Malaysia Perlis & Universiti Teknologi Malaysia.

Papers
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Using the gray wolf optimizer for solving optimal reactive power dispatch problem

TL;DR: The results of this research show that GWO is able to achieve less power loss and voltage deviation than those determined by other techniques.
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Barnacles Mating Optimizer: A new bio-inspired algorithm for solving engineering optimization problems

TL;DR: A novel bio-inspired optimization algorithm namely the Barnacles Mating Optimizer (BMO) algorithm to solve optimization problems that mimics the mating behaviour of barnacles in nature for solving optimization problems.
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Optimal reactive power dispatch solution by loss minimization using moth-flame optimization technique

TL;DR: MFO algorithm is realized in ORPD problem to investigate the best combination of control variables including generators voltage, transformers tap setting as well as reactive compensators sizing to achieve minimum total power loss and minimum voltage deviation.
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Performance characterization of a vanadium redox flow battery at different operating parameters under a standardized test-bed system

TL;DR: In this article, the experimental characterization of a 25 cm2 laboratory scale vanadium redox flow battery (V-RFB) is presented, which exhibits different characteristics with respect to voltage, coulombic and energy efficiency under different performance parameters (current densities, operating temperatures, flow rates, electrolyte concentrations and material properties of 5 cm × 5 cm electrodes).
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Prediction of small hydropower plant power production in Himreen Lake dam (HLD) using artificial neural network

TL;DR: In this article, the authors applied on ANNs by approaching of feed-forward, back-propagation to make performance predictions of the hydropower plant at the Himreen lake dam-Diyala in terms of net turbine head, flow rate of water and power production.