Short load forecasting by using a hybrid model of adaptive neuro-fuzzy system for electric load / Muhammad Aidil Adha Aziz
Short Load forecasting is vitally necessary for the electric for any power system and real- life difficulty in industry in the deregulated economy. It has various applications including energy purchasing and generation, contract evaluation, load switching, infrastructure development and to forecast...
Saved in:
Main Author: | Aziz, Muhammad Aidil Adha |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2014
|
Subjects: | |
Online Access: | https://ir.uitm.edu.my/id/eprint/79778/1/79778.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Prediction of photovoltaic system output using hybrid Cuckoo Search Least Square Support Vector Machine / Muhammad Aidil Adha Aziz
by: Aziz, Muhammad Aidil Adha
Published: (2019) -
Cuckoo search based adaptive neuro-fuzzy inference system for short-term load forecasting
by: Mustapha, Mamunu
Published: (2018) -
Adaptive short-term electrical load forecaster using artificial neural networks /
by: Tan, Swee Sien
Published: (1998) -
Short term load forecasting using fuzzy logic in UiTM Shah Alam / Mohamad Azrul Abd Aziz
by: Abd Aziz, Mohamad Azrul
Published: (2013) -
Artificial neural network and fuzzy logic solutions to short-term load forecasting /
by: Yi, Minjun
Published: (1998)