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A new prediction strategy for price spike forecasting of day-ahead electricity markets

โœ Scribed by Nima Amjady; Farshid Keynia


Publisher
Elsevier Science
Year
2011
Tongue
English
Weight
639 KB
Volume
11
Category
Article
ISSN
1568-4946

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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