๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Application of radial basis function neural network model for short-term load forecasting

โœ Scribed by Ranaweera, D.K.; Hubele, N.F.; Papalexopoulos, A.D.


Book ID
114452517
Publisher
The Institution of Electrical Engineers
Year
1995
Tongue
English
Weight
585 KB
Volume
142
Category
Article
ISSN
1350-2360

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Short-term electric power load forecasti
โœ Nicolaos B. Karayiannis; Mahesh Balasubramanian; Heidar A. Malki ๐Ÿ“‚ Article ๐Ÿ“… 2005 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 284 KB ๐Ÿ‘ 1 views

This article presents the results of a study aimed at the development of a system for short-term electric power load forecasting. This was attempted by training feedforward neural networks ~FFNNs! and cosine radial basis function ~RBF! neural networks to predict future power demand based on past pow