Time Series Forecasting of Energy Commodity using Grey Wolf Optimizer
The ability to model and perform decision making is an essential feature of many real-world applications including the forecasting of commodity prices. In this study, a forecasting model based on a relatively new Swarm Intelligence (SI) behaviour, namely Grey Wolf Optimizer (GWO), is developed for s...
Main Authors: | Zuriani, Mustaffa, Yuhanis, Yusof |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2015
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/8968/ http://umpir.ump.edu.my/id/eprint/8968/ http://umpir.ump.edu.my/id/eprint/8968/1/fskkp-2015-zuriani-time%20series%20forecasting.pdf |
Similar Items
-
An Application of Grey Wolf Optimizer for Commodity Price Forecasting
by: Zuriani, Mustaffa, et al.
Published: (2015) -
Developing a Gold Price Predictive Analysis using Grey Wolf Optimizer
by: Nurul Asyikin, Zainal, et al.
Published: (2016) -
Hybrid Harmony Search Algorithm with Grey Wolf Optimizer and Modified Opposition-based Learning
by: Alomoush, Alaa A., et al.
Published: (2019) -
Time series forecasting based on wavelet decomposition and correlation feature subset selection
by: Ahmed, Ehab Ali, et al.
Published: (2018) -
LS-SVM Hyper-parameters Optimization Based on GWO Algorithm for Time Series Forecasting
by: Zuriani, Mustaffa, et al.
Published: (2015)