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Forecasting for the Total Electricity Consumption of Taiwan by Fuzzy Time Series Model

  • Jing-Rong Chang
  • Zhong-Qi Liu
  • Pei-Yu Yu
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 110)

Abstract

Prediction at present no matter in what industry is applicable. It is not only the price, enrollment, etc., and even energy is applicable. In today’s era of so advanced technology, “electricity” is a very important energy source for the public. However, sometimes the generator is powered off due to excessive power consumption of the people, such as: the power outage in Taiwan in August 2017. In this paper, fuzzy time series will be used to explore the total electricity consumption in Taiwan in recent years. And we can also use the results to understand the people’s electricity consumption, and even adjust the power supply when necessary. Among them, in the experimental part, the method of NQDA discrete will be used for data pre-processing, and then the corresponding fuzzy rules will be established. Finally, the fuzzy values will be de-fuzzified and the predicted values will be output. The strength of the method was verified by the total electricity consumption in Taiwan from 1996 to 2017.

Keywords

Fuzzy time series Electricity consumption 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of Information ManagementChaoyang University of TechnologyTaichungTaiwan

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