Nature inspired optimization technique & machine learning for optimal load frequency control project

UiTM, College of Engineering (2024) Nature inspired optimization technique & machine learning for optimal load frequency control project. Bulletin. College of Engineering, Shah Alam.
Abstract

The consultancy appointment of Ts. Dr. Kanendra Naidu for Pusat Latihan Pengajar & Kemahiran Lanjutan (CIAST), leading a research initiative titled *"Nature Inspired Optimization Technique (NIOT) & Machine Learning (ML) for Optimal Load Frequency Control (LFC) Performance"* backed by RM10,000 in funding. Commended by the Assistant Vice-Chancellor and the fraternity of the College of Engineering at Universiti Teknologi MARA (UiTM), this appointment underscores the institution's driving role in applying advanced computational algorithms to electrical power systems. By integrating artificial intelligence and nature-inspired optimization into load frequency control, the project advances technical expertise and knowledge transfer between UiTM and advanced skill training centers, demonstrating how targeted academic research delivers high-impact solutions for modern power system stability and engineering capacity building.

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