z-logo
open-access-imgOpen Access
A Study of Load Demand Forecasting Models in Electricity using Artificial Neural Networks and Fuzzy Logic Model
Author(s) -
B. R. K. Al-ani,
Erdem Erkan
Publication year - 2022
Publication title -
international journal of engineering. transactions c: aspects
Language(s) - English
Resource type - Journals
ISSN - 2423-7167
DOI - 10.5829/ije.2022.35.06c.02
Subject(s) - mean absolute percentage error , artificial neural network , fuzzy logic , computer science , demand forecasting , artificial intelligence , electricity , electric power system , machine learning , engineering , power (physics) , operations research , physics , electrical engineering , quantum mechanics

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom