TY - JOUR
T1 - Peak load forecasting on national holiday using fuzzy-firefly algorithm at jawa-bali electricity system in Indonesia
AU - Imran, Andi
AU - Negara, I. Made Yulistya
AU - Robandi, Imam
N1 - Publisher Copyright:
© IAEME Publication.
PY - 2018/6
Y1 - 2018/6
N2 - This paper discusses the short-term load forecasting of peak load on national holiday. The peak load is forecasted using Fuzzy Inference System Type 2, in which is combined with the firefly algorithm. Firefly algorithm is used to optimize the footprint of uncertainty (FOU) on fuzzy logic that consists of antecedent (X, Y) and consequent (Z). This method is applied for short-term load forecasting by utilizing data from the daily peak loads during a holiday in the electrical system of Jawa-Bali, Indonesia. Then focused on peak load data from four days before the holiday (h-4) and on holidays (h). The tests showed that the method of Fuzzy Inference System Type-2 Firefly provide accurate forecasting, showing by its significant lower absolute error. The peak load national holidays forecasting error using Interval Fuzzy Logic Type 2-firefly amounted to 0.453167666%, using IT1FL of 1.272449841%, using IT2FL of 1.265763% and using IT2FL-BBBC of 0.974277222%.
AB - This paper discusses the short-term load forecasting of peak load on national holiday. The peak load is forecasted using Fuzzy Inference System Type 2, in which is combined with the firefly algorithm. Firefly algorithm is used to optimize the footprint of uncertainty (FOU) on fuzzy logic that consists of antecedent (X, Y) and consequent (Z). This method is applied for short-term load forecasting by utilizing data from the daily peak loads during a holiday in the electrical system of Jawa-Bali, Indonesia. Then focused on peak load data from four days before the holiday (h-4) and on holidays (h). The tests showed that the method of Fuzzy Inference System Type-2 Firefly provide accurate forecasting, showing by its significant lower absolute error. The peak load national holidays forecasting error using Interval Fuzzy Logic Type 2-firefly amounted to 0.453167666%, using IT1FL of 1.272449841%, using IT2FL of 1.265763% and using IT2FL-BBBC of 0.974277222%.
KW - Firefly
KW - Interval Type-2 Fuzzy Logic
KW - MAPE
UR - http://www.scopus.com/inward/record.url?scp=85049601519&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:85049601519
SN - 0976-6308
VL - 9
SP - 1001
EP - 1015
JO - International Journal of Civil Engineering and Technology
JF - International Journal of Civil Engineering and Technology
IS - 6
ER -