eCite Digital Repository

Author: Mandal, P (Dr Paras Mandal)

Number of items: 7

Journal Article
Mandal, P and Srivastava, AK and Senju, T and Negnevitsky, M, A new recursive neural network algorithm to forecast electricity price for PJM day-ahead market, International Journal of Energy Research, 34, (6) pp. 507-522. ISSN 0363-907X (2010) [Refereed Article] 
Mandal, P and Srivastava, AK and Negnevitsky, M and Park, JW, Sensitivity analysis of neural network parameters to improve the performance of electricity price forecasting, International Journal of Energy Research, 33, (1) pp. 38-51. ISSN 0363-907X (2009) [Refereed Article] 
Conference Publication
Negnevitsky, M and Mandal, P and Srivastava, AK, An Overview of Forecasting Problems and Techniquest in Power Systems, IEEE Power and Engineering Society Proceedings, 26-30 Jluy 2009, Calgary, Canada, pp. 1-4. ISBN 9781424442416 (2009) [Refereed Conference Paper] 
Negnevitsky, M and Mandal, P and Srivastava, AK, Applications of Intelligent Algorithm in Forecasting of Land Demand, Electricity Price, and Wind Power Prediction, AISAT 2009 The 3rd International Workshop on Artificial Intelligence in Science and Technology, 23-24 November 2009, Launceston, pp. 1-6. ISBN 9781862955509 (2009) [Refereed Conference Paper] 
Mandal, P and Srivastava, AK and Negnevitsky, M, Improving Performance of NN Based Electricity Price Forecasting Using Sensitivity Analysis, Power Systems Conference and Exposition 2009, 15-18 March, Seattle USA, pp. online. ISBN 9781424438112 (2009) [Refereed Conference Paper] 
Negnevitsky, M and Mandal, P and Srivastava, AK, Machine learning applications for load, price and wind power prediction in power systems, Proceedings of the 15th International Conference on Intelligent System Application to Power Systems, 8-12 Novmeber 2009, Curitiba, Brazil, pp. 1-6. ISBN 978-1-4244-5098-5 (2009) [Refereed Conference Paper] 
Mandal, P and Srivastava, AK and Negnevitsky, M and Park, JW, An effort to optimize similar days parameters for ANN based electricity price forecasting, Proceedings of IEEE Industry Applications Society Annual Meeting, 5-9 October, 2008, Alberta, Canada, pp. 1-9. ISBN 978-1-4244-2279-1 (2008) [Refereed Conference Paper] 

This list was generated on Sat Dec 16 18:27:53 2017.