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:"RBF Neural Network"
Narrow search

Narrow search

Year of publication
Subject
All
China's energy demand 1 Radial Basis Function (RBF) neural network 1 dynamic RBF neural network 1 energy intensity 1 forecasting 1 input layer sensitivity coefficient 1 load forecasting 1 partial sample deviation 1 thermoelectric boiler 1
more ... less ...
Online availability
All
Free 2
Type of publication
All
Book / Working Paper 1 Other 1
Language
All
English 1 Undetermined 1
Author
All
Wang, Ke 1 Wei, Yi-Ming 1 Yu, Shiwei 1
Institution
All
Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology 1
Published in...
All
CEEP-BIT Working Papers 1
Source
All
BASE 1 RePEc 1
Showing 1 - 2 of 2
Cover Image
China's primary energy demands in 2020: Predictions from an MPSO-RBF estimation model
Wei, Yi-Ming; Yu, Shiwei; Wang, Ke - Center for Energy and Environmental Policy Research … - 2011
In the present study, a Mix-encoding Particle Swarm Optimization and Radial Basis Function (MPSO-RBF) network-based energy demand forecasting model is proposed and appliedto forecast China's energy consumption until 2020. The energy demand isanalyzed for the period from 1980 to 2009 based on...
Persistent link: https://www.econbiz.de/10010897977
Saved in:
Cover Image
Research on Short-term Load Forecasting of the Thermoelectric Boiler Based on a Dynamic RBF Neural Network
2006
forecast its short-term load according to running parameters. In this paper, dynamic radial basis function (RBF) neural network … is proposed based on the RBF neural network with the associated parameters of sample deviation and partial sample …
Persistent link: https://www.econbiz.de/10009465097
Saved in:
A service of the
zbw
  • Sitemap
  • Plain language
  • Accessibility
  • Contact us
  • Imprint
  • Privacy

Loading...