P
Perumal Nallagownden
Researcher at Universiti Teknologi Petronas
Publications - 80
Citations - 1583
Perumal Nallagownden is an academic researcher from Universiti Teknologi Petronas. The author has contributed to research in topics: Efficient energy use & Energy consumption. The author has an hindex of 14, co-authored 77 publications receiving 1226 citations. Previous affiliations of Perumal Nallagownden include Multimedia University & 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).
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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.
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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.
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A Quasi-Oppositional-Chaotic Symbiotic Organisms Search algorithm for optimal allocation of DG in radial distribution networks
TL;DR: The results showed that the proposed Q OCSOS method performed greater than SOS, and offered better quality solutions than many other compared methods, suggesting the feasibility of QOCSOS in solving the ODGA problem, especially for a complex and large-scale system.
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Advanced Pareto Front Non-Dominated Sorting Multi-Objective Particle Swarm Optimization for Optimal Placement and Sizing of Distributed Generation
TL;DR: In this article, an advanced Paretofront non-dominated sorting multi-objective particle swarm optimization (Advanced-PFNDMOPSO) method was proposed for optimal configuration (placement and sizing) of distributed generation (DG) in the radial distribution system.