N
Nursyarizal Mohd Nor
Researcher at Universiti Teknologi Petronas
Publications - 115
Citations - 1553
Nursyarizal Mohd Nor is an academic researcher from Universiti Teknologi Petronas. The author has contributed to research in topics: Magnet & Stator. The author has an hindex of 15, co-authored 99 publications receiving 1246 citations. Previous affiliations of Nursyarizal Mohd Nor include Petronas.
Papers
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Journal ArticleDOI
A review on optimized control systems for building energy and comfort management of smart sustainable buildings
Pervez Hameed Shaikh,Nursyarizal Mohd Nor,Perumal Nallagownden,Irraivan Elamvazuthi,Taib Ibrahim +4 more
TL;DR: In this article, the authors present a comprehensive and significant research conducted on state-of-the-art intelligent control systems for energy and comfort management in smart energy buildings (SEB's).
Journal ArticleDOI
Building energy for sustainable development in Malaysia: A review
Pervez Hameed Shaikh,Pervez Hameed Shaikh,Nursyarizal Mohd Nor,Anwer Ali Sahito,Perumal Nallagownden,Irraivan Elamvazuthi,M. S. Shaikh +6 more
TL;DR: In this paper, a review on the building energy scenario, the policy perspectives, building energy efficiency programs along with landmark buildings and their characteristics are discussed, and the potential of renewable energy resources in buildings and various prospective issues and challenges faced by the country have also been discussed.
Journal ArticleDOI
Intelligent multi-objective control and management for smart energy efficient buildings
Pervez Hameed Shaikh,Pervez Hameed Shaikh,Nursyarizal Mohd Nor,Perumal Nallagownden,Irraivan Elamvazuthi,Taib Ibrahim +5 more
TL;DR: In this article, a multi-agent control system has been developed in combination with stochastic intelligent optimization, where the multi-objective genetic algorithm (MOGA) was used as optimization algorithm.
Journal ArticleDOI
Battery Storage for the Utility-Scale Distributed Photovoltaic Generations
TL;DR: A mixed integer optimization using genetic algorithm for determining the optimum size and placement of battery-sourced distributed PV generation (B-SDPVG) in distribution networks and it was revealed that integration of battery storage and intelligent scheduling for charging and discharging of batteries produced much better results and improved the quality of distribution networks.
Proceedings ArticleDOI
Energy storage systems and their sizing techniques in power system — A review
TL;DR: In this article, the authors reviewed different energy storage systems (ESS) and their sizing techniques, used in power system and recommended that current energy models used for sizing of energy storage should be reconsidered and re-designed.