首页> 外文会议>2016 IEEE Region 10 Symposium >Short term load forecasting of Eid Al Fitr holiday by using interval Type-2 Fuzzy Inference System (Case study: Electrical system of Java Bali in Indonesia)
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Short term load forecasting of Eid Al Fitr holiday by using interval Type-2 Fuzzy Inference System (Case study: Electrical system of Java Bali in Indonesia)

机译:基于区间2型模糊推理系统的开斋节假期短期负荷预测(案例研究:印度尼西亚爪哇岛的电气系统)

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Holiday of Eid Al Fitr causing decreased demand of electrical energy until 28.66% in case of Java Bali electricity system in Indonesia. The reduction of electrical demand needs to be known because it related to the efficiency of generation power system. Forecasting methods used in this research is IT-2 FIS. By analyzing the peak load on the day and 4 days before Eid Al Fitr in the previous year continued analysis by using IT-2 FIS will be obtained at the peak load forecasting Eid Al-Fitr in the coming year. The accuracy of this method is shown with the average of error value in 2012, 2013 and 2014 amounting to 0,2431%. This value is better than using the IT-1 FIS which has a value of error amounting to 0.3026%. The research concluded that IT-2 FIS has a value of error smaller than IT-1 FIS.
机译:在印度尼西亚的爪哇巴厘岛电力系统中,开斋节假期导致电力需求下降,直到28.66%。由于与电力系统的效率有关,因此需要了解电力需求的减少。本研究中使用的预测方法是IT-2 FIS。通过分析上一年Eid Al Fitr的前一天和第4天的高峰负荷,在来年的Eid Al-Fitr高峰负荷预测中将继续使用IT-2进行FIS分析。该方法的准确度显示为2012年,2013年和2014年的误差值平均值为0.2431%。此值比使用IT-1 FIS更好,后者的错误值为0.3026%。研究得出的结论是,IT-2 FIS的误差值小于IT-1 FIS。

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