๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Day-ahead price forecasting of electricity markets by a new feature selection algorithm and cascaded neural network technique

โœ Scribed by Nima Amjady; Farshid Keynia


Book ID
113600362
Publisher
Elsevier Science
Year
2009
Tongue
English
Weight
224 KB
Volume
50
Category
Article
ISSN
0196-8904

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