๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

A comparison of univariate methods for forecasting electricity demand up to a day ahead

โœ Scribed by James W. Taylor; Lilian M. de Menezes; Patrick E. McSharry

Book ID
113647841
Publisher
Elsevier Science
Year
2006
Tongue
English
Weight
224 KB
Volume
22
Category
Article
ISSN
0169-2070

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

A new recursive neural network algorithm
A new recursive neural network algorithm to forecast electricity price for PJM day-ahead market
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