Nursyarizal Mohd Nor

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).

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.

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.

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.

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.