Artificial neural network approach for electric load forecasting in power distribution company / Hambali M. A ... [et al.]
In recent years, there have been extensive researches seeking the best methods of improving the load forecast accuracy. Many of these methods are statistical based methods which include time series, regression, Box-Jenkins model, exponential smoothing and so on. However, the statistical models offer...
Saved in:
Main Authors: | M. A., Hambali, Y. K, Saheed, M. D, Gbolagade, M, Gaddafi |
---|---|
Format: | Article |
Language: | English |
Published: |
2017
|
Subjects: | |
Online Access: | https://ir.uitm.edu.my/id/eprint/83551/1/83551.pdf https://ir.uitm.edu.my/id/eprint/83551/ https://e-ajuitmct.uitm.edu.my/v3/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
IoT-based smart clothesline cover / Nyak Hisyamudin Mahzir
by: Mahzir, Nyak Hisyamudin
Published: (2020) -
A single measurement of combined Direct and indirect MPPT algorithm for mismatch PV module application / Mohd Najib Mohd Hussain
by: Mohd Hussain, Mohd Najib
Published: (2016) -
Efficient selective encryption schemes to secure video data and moving objects information for HEVC/H.265 using advanced encryption standard / Mohammed Ahmed Mohammed Saleh
by: Mohammed Saleh, Mohammed Ahmed
Published: (2016) -
Investigating the practices of information security incident management system in networks threats: a case in TM's IPCore Network / Norkhamsiah Abdul Malik
by: Abdul Malik, Norkhamsiah
Published: (2015) -
Analysis performance of quality of service (QoS) IP VPN (internet protocol virtual private network) / Siti Fuwaizah Mohd Ghazali
by: Mohd Ghazali, Siti Fuwaizah
Published: (2006)