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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) Bulletin of Electrical Engineering and Informatics Indonesian Journal of Electrical Engineering and Computer Science

Ahmad Fateh Mohamad Nor

Universiti Tun Hussein Onn Malaysia

Author-ID : 2397009

Control & Systems Engineering Electrical & Electronics Engineering

Published : 5 Documents Claim Missing Document

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Articles

Performance enhancement of solar powered floating photovoltaic system using arduino approach Nur Amirah Abdul Jamil; Siti Amely Jumaat; Suriana Salimin; Mohd Noor Abdullah; Ahmad Fateh Mohamad Nor
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 11, No 2: June 2020
Publisher : Institute of Advanced Engineering and Science

This paper presents Performance Enhancement of Solar Powered Floating Photovoltaic System using Arduino Approach. In the project, an Arduino nano as a main controller of the system. The objective of this project to monitor performance of the voltage, current and power output respectively. Furthermore, the prototype of the research is testing in two conditions: on water surface and on a land area. Based on the results, the power of the photovoltaic on the water surface is increased compared on the land area. The conclusion for this project is it can generate electricity using floating photovoltaic and the same time to monitor output of the system.

Application of artificial neural network in sizing a stand-alone photovoltaic system: a review Ahmad Fateh Mohamad Nor; Suriana Salimin; Mohd Noor Abdullah; Muhammad Nafis Ismail
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 11, No 1: March 2020
Publisher : Institute of Advanced Engineering and Science

Artiﬁcial Neural Network (ANN) techniques are becoming useful in the current era due to the vast development of the current computer technologies. ANN has been used in various fields especially in the field of science and technology. One of the advantage that makes ANN so interesting is the ANN’s ability to learn the input and output relationship even though the relationship is non-linear. In addition, ANN is also useful for modelling, optimization, prediction, forecasting, and controlling systems. The main objective of this paper is to present a review of the ANN techniques for sizing a stand-alone photovoltaic (PV) system. The review in this paper shows the potential of ANN as a design tool for a stand-alone PV. In addition, ANN is very useful to improve the sizing process of the stand-alone PV system. The sizing process is of paramount importance to a stand-alone PV system in order to make sure the system can generate ample electrical energy to supply the load demand.

Voltage instability analysis based on modal analysis technique and artificial neural network Ahmad Fateh Mohamad Nor; Marizan Sulaiman
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 3: March 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v13.i3.pp1274-1279

One of the paramount importance in the operation of electrical power system operation order to sustain the equilibrium of the system is the stability of the load buses’ voltages. If the load buses voltages are not stable, this can cause serious problem especially power system blackout. This paper presents the analysis of voltage instability in electric power system by using modal analysis technique. However, one of the challenges of modal analysis is the intencive and complex calculation procedures. In order to overcome that, this paper implements Artificial Neural Network (ANN) to improve the implementation of modal analysis technique. ANN is used to determine the participation factors obtained from the modal analysis technique. The results show that modal analysis technique is able to show which bus is close towards experiencing voltage instability. In addition, the results also show that ANN is able to predict the values of participation factors. A load bus is considered a weak bus if the bus has high tendency towards experiencing voltage instability. IEEE-14 bus test power system has been chosen as the test power system.

Combined economic-emission load dispatch solution using firefly algorithm and fuzzy approach M. N. Abdullah; N. A. Abdullah; N. F. Aswan; S. A. Jumaat; N. H. Radzi; Ahmad Fateh Mohamad Nor
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 1: October 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i1.pp127-135

This paper proposes Firefly Algorithm (FA) with fuzzy approach for solving combined economic-emission load dispatch (CEELD) problem in power generation. The main objective of the CEELD problem is to determine the optimal cost and emission level of power generation and fulfill the load demand and operational constraints. The CEELD problem used weighted sum method to combine two objective functions (cost and emission) into single objective. Then, the Fuzzy-based mechanism approach is integrated in FA to find the best compromise solution for both conflicting cost and emission level. The FA has been tested on IEEE 118-bus 14-unit test system for minimization both cost of power generation and emission level. The performance of FA for solving CEELD problem has been investigated in terms of optimal solution, convergence characteristics and Pareto front solution. From the comparison of the CEELD solutions, it found that FA can provide significant cost and emission reduction compared to other methods. Thus, it can be used as alternative approach for solving any optimization problems.

Evaluating solar photovoltaic panel orientations for an open-field internet of things framework Khairul Anuar Mohamad; Mohamad Syahmi Nordin; Hairul Hafizi Hasnan; Ahmad Fateh Mohamad Nor; Rohaiza Hamdan; Nazirah Mohamad Abdullah; Nor Anija Jalaludin
Bulletin of Electrical Engineering and Informatics Vol 15, No 1: February 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v15i1.10597

This paper presents a comparative experimental analysis of horizontal, vertical, and 45° tilt photovoltaic (PV) panel orientations, evaluated with and without load conditions in a tropical environment. Simultaneous measurements of open-circuit voltage (Voc), short-circuit current (Isc), and average power were conducted over three consecutive days to facilitate orientation-specific performance comparisons. Results show that the horizontal orientation demonstrated robust midday performance, achieving 3.65 W with load on one of the test day, but declined sharply in post-noon periods. The vertical orientation consistently produced lower average power outputs, approximately 3.1 W with load. As a reference, the 45° tilt consistently produced the highest output, with average load powers of 3.77 W, 3.41 W, and 3.64 W over the three days. This performance exceeded horizontal orientations by 2–5% and vertical orientations by 15–20%. Both horizontal and tilt orientations consistently surpassed internet of things (IoT) operational thresholds of 3.3–5.0 V and 100–200 mA required for low power sensor nodes, ensuring excess energy for storage. In contrast, the vertical orientation posed a risk of inadequate current in late afternoon periods. Thus, the results indicate that the orientation selection should be environment-driven. Horizontal or tilted orientations are suitable for rural and open-field IoT settings, while vertical orientations are advantageous for space-constrained or dust-prone environments.

Co-Authors Hairul Hafizi Hasnan Khairul Anuar Mohamad M. N. Abdullah Marizan Sulaiman Mohamad Syahmi Nordin Mohd Noor Abdullah Muhammad Nafis Ismail N. A. Abdullah N. F. Aswan N. H. Radzi Nazirah Mohamad Abdullah Nor Anija Jalaludin Nur Amirah Abdul Jamil Rohaiza Hamdan S. A. Jumaat Siti Amely Jumaat Suriana Salimin

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