Very short term load forecasting peak load time using fuzzy logic

J. Jamaaluddin, D. Hadidjaja, I. Sulistiyowati, E. A. Suprayitno, I. Anshory, S. Syahrorini

Research output: Contribution to journalConference articlepeer-review

9 Citations (Scopus)

Abstract

One of the important things to do in electric power system operation is load forecasting. Load forecasting consists short term load forecasting and very short term forecasting. The very short-term load forecasting is predicting electrical loads in every 30 minutes. This forecasting is done to decide which plant to operate. The capacity of the plant to be operated adjusts to the load plan to be supplied the next day One method utilized in this research is Fuzzy Logic. This method has been applied for short-term load forecasting and will be employed for very short-term forecasting peak load time. Fuzzy logic expected has a small MAPE (0,6244%).

Original languageEnglish
Article number012070
JournalIOP Conference Series: Materials Science and Engineering
Volume403
Issue number1
DOIs
Publication statusPublished - 2018
Externally publishedYes
Event2017 1st International Conference on Engineering and Applied Technology, ICEAT 2017 - Mataram, Indonesia
Duration: 29 Nov 201730 Nov 2017

Keywords

  • Fuzzy Logic
  • Main Average Percentage Error (MAPE)
  • Very Short Term Load Forecasting

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