2022
DOI: 10.1016/j.enconman.2022.115556
|View full text |Cite
|
Sign up to set email alerts
|

Using neural network modelling for estimation and forecasting of transport sector energy demand in developing countries

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
0
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 12 publications
(1 citation statement)
references
References 44 publications
0
0
0
Order By: Relevance
“…Numerous studies also confirmed the scarcity of studies that investigated the adoption of this technology in these contexts (Chau et al, 2020). Most of the studies have been conducted in developed countries (Hidayati et al, 2023;Hussain & Aziz, 2022), which would make the generalisation of the research findings difficult, if not impossible, because of differences in social, cultural, economic, legal and political contexts (Maaouane et al, 2022).…”
Section: Problem Statement and Purpose Of The Studymentioning
confidence: 97%
“…Numerous studies also confirmed the scarcity of studies that investigated the adoption of this technology in these contexts (Chau et al, 2020). Most of the studies have been conducted in developed countries (Hidayati et al, 2023;Hussain & Aziz, 2022), which would make the generalisation of the research findings difficult, if not impossible, because of differences in social, cultural, economic, legal and political contexts (Maaouane et al, 2022).…”
Section: Problem Statement and Purpose Of The Studymentioning
confidence: 97%