M
Mehdi Seyedmahmoudian
Researcher at Swinburne University of Technology
Publications - 142
Citations - 4048
Mehdi Seyedmahmoudian is an academic researcher from Swinburne University of Technology. The author has contributed to research in topics: Computer science & Renewable energy. The author has an hindex of 25, co-authored 107 publications receiving 2388 citations. Previous affiliations of Mehdi Seyedmahmoudian include Deakin University & University of Malaya.
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Review on the impact of urban geometry and pedestrian level greening on outdoor thermal comfort
TL;DR: In this paper, a review of pedestrian level urban greening and geometry in improving thermal comfort in cities is presented, which clearly reflects how urban design guidelines can be applied to enhance outdoor thermal comfort and minimize the heat island effect.
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Simulation and Hardware Implementation of New Maximum Power Point Tracking Technique for Partially Shaded PV System Using Hybrid DEPSO Method
Mehdi Seyedmahmoudian,Rasoul Rahmani,Saad Mekhilef,Amanullah M. T. Oo,Alex Stojcevski,Tey Kok Soon,Alireza Safdari Ghandhari +6 more
TL;DR: In this article, a hybrid evolutionary algorithm called the DEPSO technique, a combination of the differential evolutionary (DE) algorithm and particle swarm optimization (PSO), was employed to detect the maximum power point under partial shading conditions.
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State of the art artificial intelligence-based MPPT techniques for mitigating partial shading effects on PV systems – A review
Mehdi Seyedmahmoudian,Ben Horan,T. Kok Soon,Rasoul Rahmani,A. Muang Than Oo,Saad Mekhilef,Alex Stojcevski +6 more
TL;DR: In this paper, the authors present a review of the performance and reliability of various methods for maximum power point tracking (MPPT) in PV-based power systems, including their limitations and advantages.
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Improved Differential Evolution-Based MPPT Algorithm Using SEPIC for PV Systems Under Partial Shading Conditions and Load Variation
Kok Soon Tey,Saad Mekhilef,Mehdi Seyedmahmoudian,Ben Horan,Amanullah M. T. Oo,Alex Stojcevski +5 more
TL;DR: An improved global search space differential evolution algorithm for tracking the GMPP and faster respond against load variation; optimization algorithm can search for theGMPP within a larger operating region as it is implemented by using a single-ended primary-inductor converter; and easy tuning as less parameter has to be set in the algorithm.
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Dust as an unalterable deteriorative factor affecting PV panel's efficiency: why and how
TL;DR: In this paper, the effects of dust on solar panel efficiency and the factors governing dust deposition on PV panel are reviewed and summarized, and the authors conclude that dust accumulation of 20 grams/m2 on a PV panel reduces short circuit current, open circuit voltage and efficiency by 15-21, 2-6% and 15-35% respectively.