Student Preferences for Learning Resources on a Land-based Postgraduate Online Degree Programme

An Online Q-learning Based Multi-Agent LFC for a Multi-Area Multi-Source Power System Including Distributed Energy Resources

This paper presents an online two-stage Q-learning based multi-agent (MA) controller for load frequency control (LFC) in an interconnected multi-area multi-source power system integrated with distributed energy resources (DERs). The proposed control strategy consists of two stages. The first stage is employed a PID controller which its parameters are designed using sine cosine optimization (SCO...

A New Fuzzy Stabilizer Based on Online Learning Algorithm for Damping of Low-Frequency Oscillations

A multi objective Honey Bee Mating Optimization (HBMO) designed by online learning mechanism is proposed in this paper to optimize the double Fuzzy-Lead-Lag (FLL) stabilizer parameters in order to improve low-frequency oscillations in a multi machine power system. The proposed double FLL stabilizer consists of a low pass filter and two fuzzy logic controllers whose parameters can be set by the ...

A - Postgraduate Educational Programme

Student perceptions on learning with online resources in a flipped mathematics classroom

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Learning Preferences and Readiness for Online Learning

Using a sample of 314 Australian university students the Readiness for Online Learning questionnaire was tested for its technical characteristics of reliability and factorability, with results indicating the instrument has promise both for research and for practice. The factor analysis identified a factor associated with self-management of learning, and one of comfort with e-learning. These fac...