General Information
    • ISSN: 1793-821X
    • Frequency: Quarterly (2013-2014); Bimonthly (Since 2015)
    • DOI: 10.18178/JOCET
    • Editor-in-Chief: Prof. Haider F. Abdul Amir
    • Executive Editor: Ms. Julia S. Ma
    • Abstracting/ Indexing: EI (INSPEC, IET), Electronic Journals Library, Chemical Abstracts Services (CAS), Ulrich's Periodicals Directory, Google Scholar, ProQuest and DOAJ.
    • E-mail:
  • Oct 12, 2015 News! JOCET Vol.2, No.3 has been indexed by EI(Inspec)!   [Click]
  • Nov 20, 2015 News! Welcome Prof. H. Santos to join the editorial board of JOCET.
School of Science and Technology Universiti Malaysia Sabah, Malaysia.
I would like to express my appreciation to all authors, reviewers and edtors.
Journal of Clean Energy Technologies (JOCET) is an international academic open access journal which gains a foothold in Singapore, Asia and opens to the world. It aims to promote the integration of Clean Energy Technologies. The focus is to publish papers on state-of-the-art Clean Energy Technologies. Submitted papers will be reviewed by technical committees of the Journal and Association. The audience includes researchers, managers and operators for Clean Energy Technologies as well as designers and developers.
All submitted articles should report original, previously unpublished research results, experimental or theoretical, and will be peer-reviewed. Articles submitted to the journal should meet these criteria and must not be under consideration for publication elsewhere. Manuscripts should follow the style of the journal and are subject to both review and editing.

Featured Article

Closed-Form Second-Order Power Transmission Characteristic Model of the Isolated Dual Active Bridge Converter
Yunpeng Yao, Shen Xu, Shengli Lu, and Weifeng Sun
The closed-form second order power transmission characteristic (SO-PTC) models of the isolated dual active bridge (IDAB) converter is proposed in all the control strategies in this paper, and the SO-PTC model is derived by the fundamental harmonic approximation (FHA) method. This SO-PTC model shows a better accuracy and a good convenience in predicting the output power of the DAB converter in practical applications...[Read More]
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