Evaluation on knowledge extraction and machine learning in resolving Malay word ambiguity

  • Yahaya M
  • Rahman N
  • Bakar Z
  • et al.
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Abstract

Electricity delivery to the consumer should be implemented in such a way that, cost is minimal, loss is minimal and voltage is within the acceptable limit. In general, the voltage level should be within 95% to 105% of the nominal limit in accordance to most international standard within the power engineering community. This phenomenon is addressed as secure voltage level. The dispatch of electricity is controlled by a dispatch body of the utility in a country. Economic dispatch requires a reliable optimization technique so loss is minimal. This paper presents Log-Normal Evolutionary Programming (LNEP) technique for solving Economic Dispatch (ED) problem considering loss minimization. Validations on the IEEE 6-bus and IEEE 26-bus test systems demonstrated that LNEP is feasible and convincing is addressing the issues. It was revealed that the proposed LNEP gives better solution to solve ED problem than the Classical EP and traditional load flow.

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APA

Yahaya, M. F., Rahman, N. A., Bakar, Z. A., & Hasmy, H. (2018). Evaluation on knowledge extraction and machine learning in resolving Malay word ambiguity. Journal of Fundamental and Applied Sciences, 9(5S), 115. https://doi.org/10.4314/jfas.v9i5s.10

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