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

Journal article

Paras Mandal, Tomonobu Senjyu, Naomitsu Urasaki, Toshihisa Funabashi and Anurag K Srivastava

IEEE transactions on power systems, Vol.22(4), pp.2058-2065

11/2007

Handle:

https://hdl.handle.net/2376/110499

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Title: A Novel Approach to Forecast Electricity Price for PJM Using Neural Network and Similar Days Method
Creators: Paras Mandal
Tomonobu Senjyu
Naomitsu Urasaki
Toshihisa Funabashi
Anurag K Srivastava
Publication Details: IEEE transactions on power systems, Vol.22(4), pp.2058-2065
Academic Unit: Electrical Engineering and Computer Science, School of
Identifiers: 99900547376101842
Language: English
Resource Type: Journal article