Adaptive neuro-fuzzy inference system-based prediction model for Malaysia’s overall energy consumption.
Malaysia is one of the developing countries in South- east Asia that showed a rising in energy consumption every year. In this paper, three predictive models on total energy consumption are constructed using the Adaptive Neuro-Fuzzy Inference System (ANFIS). Three major steps are proposed to determi...
Saved in:
Main Authors: | Syamsul Bahri, Nurlaila, Mohd. Ali, Nur Syazwani, Jamaluddin, Khairulnadzmi, Hamzah, Khaidzir, Zainal, Jasman, Sazali, Muhammad Arif, Sarkawi, Muhammad Syahir, Basri, Nor Afifah, Mohd. Sies, Mohsin, Md. Rashid, Nahrul Khair Alang |
---|---|
Format: | Article |
Language: | English |
Published: |
SANDKRS sdn bhd.
2023
|
Subjects: | |
Online Access: | http://eprints.utm.my/108577/1/NurlailaSyamsulBahri2023_AdaptiveNeuroFuzzyInferenceSystemBased.pdf http://eprints.utm.my/108577/ http://dx.doi.org/10.20967/jcscm.2023.02.005 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Electricity Consumption Forecasting Using Adaptive Neuro-Fuzzy Inference System (ANFIS)
by: Tay, K. G., et al.
Published: (2019) -
Electricity consumption forecasting using Adaptive Neuro-Fuzzy Inference System (ANFIS)
by: K.G., Tay, et al.
Published: (2019) -
Characterization of ANFIS-SC method on power peaking factor
by: Mohd. Ali, Nur Syazwani, et al.
Published: (2022) -
Energy consumption, economic growth, and CO2 emissions in G20 countries: Application of adaptive neuro-fuzzy inference system
by: Mardani, Abbas
Published: (2018) -
A framework of modified adaptive neuro-fuzzy inference engine
by: Hossen, Md. Jakir
Published: (2012)