Sensitivity analysis of neural network parameters to improve the performance of electricity price forecasting

Journal article

Peer reviewed

Paras MANDAL, Anurag K SRIVASTAVA, Michael NEGNEVITSKY and Jung-Wook PARK

International journal of energy research, Vol.33(1), pp.38-51

2009

Handle:

https://hdl.handle.net/2376/115916

Abstract

Energy

Applied sciences

Exact sciences and technology

3 Record Views

Title: Sensitivity analysis of neural network parameters to improve the performance of electricity price forecasting
Creators: Paras MANDAL - School of Engineering, University of Tasmania, Private Bag 65 Hobart, 7001 Tasmania, Australia
Anurag K SRIVASTAVA - Department of Electrical and Computer Engineering, Mississippi State University, Mississippi, MS 39762, United States
Michael NEGNEVITSKY - School of Engineering, University of Tasmania, Private Bag 65 Hobart, 7001 Tasmania, Australia
Jung-Wook PARK - School of Electrical and Electronic Engineering, Yonsei University, 134 Sinchon-dong, Seodaemun-gu, Seoul 120-749, Korea, Republic of
Publication Details: International journal of energy research, Vol.33(1), pp.38-51
Academic Unit: Electrical Engineering and Computer Science, School of
Publisher: Wiley; Chichester
Identifiers: 99900547664701842
Language: English
Resource Type: Journal article