๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Day-ahead electricity price forecasting by modified relief algorithm and hybrid neural network

โœ Scribed by Amjady, N.; Daraeepour, A.; Keynia, F.


Book ID
117811653
Publisher
The Institution of Engineering and Technology
Year
2010
Tongue
English
Weight
451 KB
Volume
4
Category
Article
ISSN
1751-8687

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


A new recursive neural network algorithm
โœ Paras Mandal; Anurag K. Srivastava; Tomonobu Senjyu; Michael Negnevitsky ๐Ÿ“‚ Article ๐Ÿ“… 2010 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 284 KB

This paper evaluates the usefulness of publicly available electricity market information in predicting the hourly prices in the PJM day-ahead electricity market using recursive neural network (RNN) technique, which is based on similar days (SD) approach. RNN is a multi-step approach based on one out