EconBiz - Find Economic Literature
    • Logout
    • Change account settings
  • A-Z
  • Beta
  • About EconBiz
  • News
  • Thesaurus (STW)
  • Academic Skills
  • Help
  •  My account 
    • Logout
    • Change account settings
  • Login
EconBiz - Find Economic Literature
Publications Events
Search options
Advanced Search history
My EconBiz
Favorites Loans Reservations Fines
    You are here:
  • Home
  • Search: subject:"transport energy demand"
Narrow search

Narrow search

Year of publication
Subject
All
Transport energy demand 2 China 1 Forecasting 1 Genetic programming 1 Modeling 1 PLSR 1 STIRPAT 1 city-based data 1 transport energy demand 1 urban density 1
more ... less ...
Online availability
All
Undetermined 2 Free 1
Type of publication
All
Article 2 Book / Working Paper 1
Language
All
Undetermined 3
Author
All
Doustmohammadi, A. 1 Forouzanfar, Mehdi 1 Hasanzadeh, Samira 1 Li, Gang 1 Liddle, Brantley 1 Mu, Hailin 1 Ning, Yadong 1 Shakouri G, H. 1 Zhang, Ming 1
more ... less ...
Institution
All
Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 1
Published in...
All
Applied Energy 1 Energy 1 MPRA Paper 1
Source
All
RePEc 3
Showing 1 - 3 of 3
Cover Image
Urban Density and Climate Change: A STIRPAT Analysis using City-level Data
Liddle, Brantley - Volkswirtschaftliche Fakultät, … - 2013
Two important, increasing trends for those concerned about climate change to consider are urbanization/the importance of cities and energy used in transport—particularly energy used to achieve personal mobility. While national urbanization levels are not a good indicator of urban transport...
Persistent link: https://www.econbiz.de/10011258863
Saved in:
Cover Image
Transport energy demand forecast using multi-level genetic programming
Forouzanfar, Mehdi; Doustmohammadi, A.; Hasanzadeh, Samira - In: Applied Energy 91 (2012) 1, pp. 496-503
In this paper, a new multi-level genetic programming (MLGP) approach is introduced for forecasting transport energy … demand (TED) in Iran. It is shown that the result obtained here has smaller error compared with the result obtained using …
Persistent link: https://www.econbiz.de/10010576325
Saved in:
Cover Image
Forecasting the transport energy demand based on PLSR method in China
Zhang, Ming; Mu, Hailin; Li, Gang; Ning, Yadong - In: Energy 34 (2009) 9, pp. 1396-1400
, which experienced rapid increases in energy demand. The purpose of this study is to forecast transport energy demand for … 2010, 2015 and 2020 based on partial least square regression (PLSR) method under two scenarios. Transport energy demand is …-turnover. This method suggests that transport energy demand for 2020 will reach to a level of around 433.13Mtce and 468.26Mtce …
Persistent link: https://www.econbiz.de/10010807855
Saved in:
A service of the
zbw
  • Sitemap
  • Plain language
  • Accessibility
  • Contact us
  • Imprint
  • Privacy

Loading...