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A Novel Approach to Forecast Electricity Price for PJM Using Neural Network and Similar Days Method

โœ Scribed by Mandal, P.; Senjyu, T.; Urasaki, N.; Funabashi, T.; Srivastava, A.K.


Book ID
118040565
Publisher
IEEE
Year
2007
Tongue
English
Weight
309 KB
Volume
22
Category
Article
ISSN
0885-8950

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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