[HTML][HTML] Advancements of wind energy conversion systems for low-wind urban environments: A review

JD Tan, CCW Chang, MAS Bhuiyan, K Nisa'Minhad… - Energy Reports, 2022 - Elsevier
The past decade has witnessed rapid research and developments in wind energy
conversion systems and related enabling technologies. The incorporation of wind turbines in …

[HTML][HTML] Recent advancements in condition monitoring systems for wind turbines: A review

CCW Chang, TJ Ding, W Han, CC Chai, MAS Bhuiyan… - Energy Reports, 2023 - Elsevier
The reduction of operation and maintenance costs as well as the improvement of reliability
of wind energy conversion systems are of top priorities in the renewable energy industry as …

Nature-Inspired Heuristic Frameworks Trends in Solving Multi-objective Engineering Optimization Problems

CCW Chang, TJ Ding, CCW Ee, W Han… - … Methods in Engineering, 2024 - Springer
Nowadays, nature-inspired artificial intelligent metaheuristic optimization algorithms
(MHOAs) have gained many attentions from researchers all over the world due to their …

[HTML][HTML] Moth flame optimization for the maximum power point tracking scheme of photovoltaic system under partial shading conditions

CCW Chang, TJ Ding, W Han, CC Chai, CM Yam… - Energy Reports, 2023 - Elsevier
The dwindling reserves of fossil fuels have spurred the expansion of photovoltaic power
systems, widely regarded as an alluring solution. Yet, a formidable challenge arises when it …

Mineral import demand and wind energy deployment in the USA: Co-integration and counterfactual analysis approaches

M Islam, K Sohag - Mineral Economics, 2023 - Springer
Wind energy, a captivating parameter of clean energy transformations, requires abundant
metallic minerals to operate its technologies: wind cells, wind turbines, wind generators …

Dynamic support vector regression control system for overlay error compensation with stochastic metrology delay

M Khakifirooz, CF Chien… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
This study aims to develop a robust monitoring system for advanced control and
compensation of the overlay errors based on E-insensitive support vector regression (SVR) …

Arcing faults detection in switchgear with extreme learning machine

S Ishak, SP Koh, JD Tan, SK Tiong… - Journal of Physics …, 2022 - iopscience.iop.org
The robustness of switchgears has critical impacts on the general efficiency of power
distribution systems. Faulty switchgears lead to many unwanted complications for utility …

Embedded Control and Remote Monitoring for Photovoltaic Solar Energy Harvesting Systems: A Review

CCW Chang, TJ Ding, YC Tak, JKS Paw… - Journal of Physics …, 2022 - iopscience.iop.org
With fossil fuel sources diminishing and climate issues getting more and more serious each
year, researchers around the world have been turning their attention to more sustainable …

[PDF][PDF] A heat waste recovery system via thermoelectric generator

CP Chen, SP Koh, SK Tiong… - … Journal of Electrical …, 2019 - pdfs.semanticscholar.org
Be it in the power production or consumption end, improvement on the power efficiency has
become one of the most pivoting research topics over the past few decades. In order to …

Forecasting Total Oil and Grease in produced water using Machine Learning methods in an oil extraction plant

JM Oliveira-Junior, M de Arruda Pereira - Marine Systems & Ocean …, 2020 - Springer
On-line monitoring of Total Oil and Grease (TOG) in produced water of offshore platforms
has been a challenge over the past decades. There are difficulties imposed by the sensitivity …