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Bayesian neural network model to predict day-ahead electricity prices

โœ Scribed by Vahid Vahidinasab; Shahram Jadid


Publisher
John Wiley and Sons
Year
2008
Tongue
English
Weight
363 KB
Volume
20
Category
Article
ISSN
1430-144X

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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