All Stories

  1. A multiobjective framework for wind speed prediction interval forecasts

    Article • Renewable Energy, March 2016, Elsevier

    Dr Bijaya Ketan Panigrahi, Dr NITIN ANAND SHRIVASTAVA

  2. Wind Power Ramp Events Classification Using Extreme Learning Machines

    Article • January 2016, Springer Science + Business Media

    Dr NITIN ANAND SHRIVASTAVA

  3. Prediction interval estimation for wind farm power generation forecasts using support vector machines

    Article • July 2015, Institute of Electrical & Electronics Engineers (IEEE)

    Dr NITIN ANAND SHRIVASTAVA

  4. Prediction interval estimations for electricity demands and prices: a multi-objective approach

    Article • IET Generation Transmission & Distribution, April 2015, the Institution of Engineering and Technology (the IET)

    Dr NITIN ANAND SHRIVASTAVA, Dr Bijaya Ketan Panigrahi

  5. Comparative study of power forecasting methods for wind farms

    Article • March 2015, Institute of Electrical & Electronics Engineers (IEEE)

    Dr NITIN ANAND SHRIVASTAVA

  6. Prediction Interval Estimation of Electricity Prices using PSO tuned Support Vector Machines

    Article • IEEE Transactions on Industrial Informatics, January 2015, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Bijaya Ketan Panigrahi, Dr NITIN ANAND SHRIVASTAVA

  7. Prediction interval estimation for electricity price and demand using support vector machines

    Article • July 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Bijaya Ketan Panigrahi, Dr NITIN ANAND SHRIVASTAVA

  8. A hybrid wavelet-ELM based short term price forecasting for electricity markets

    Article • International Journal of Electrical Power & Energy Systems, February 2014, Elsevier

    Dr Bijaya Ketan Panigrahi, Dr NITIN ANAND SHRIVASTAVA

  9. Electricity price classification using extreme learning machines

    Article • Neural Computing and Applications, January 2014, Springer Science + Business Media

    Dr Bijaya Ketan Panigrahi, Dr NITIN ANAND SHRIVASTAVA

  10. Point and prediction interval estimation for electricity markets with machine learning techniques and wavelet transforms

    Article • Neurocomputing, October 2013, Elsevier

    Dr Bijaya Ketan Panigrahi, Dr NITIN ANAND SHRIVASTAVA

  11. Development of an artificial neural network based multi-model ensemble to estimate the northeast monsoon rainfall over south peninsular India: an application of extreme learning machine

    Article • Climate Dynamics, September 2013, Springer Science + Business Media

    Dr NITIN ANAND SHRIVASTAVA

  12. Price forecasting using computational intelligence techniques: A comparative analysis

    Article • December 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Dr NITIN ANAND SHRIVASTAVA

  13. Design and Development of a Feedback Controller for Boost Converter Using Artificial Immune System

    Article • Electric Power Components and Systems, June 2011, Taylor & Francis

    Dr NITIN ANAND SHRIVASTAVA

  14. Groundwater Level Forecasting Using SVM-QPSO

    Article • January 2011, Springer Science + Business Media

    Dr Bijaya Ketan Panigrahi, Dr NITIN ANAND SHRIVASTAVA

  15. A hybrid swarm-machine intelligence approach for day ahead price forecasting

    Article • International Journal of Innovative Computing and Applications, January 2011, Inderscience Publishers

    Dr NITIN ANAND SHRIVASTAVA

  16. Voltage profile enhancement through optimal placement of FACTS devices using Queen-Bee-Assisted GA

    Article • January 2009, Institute of Electrical & Electronics Engineers (IEEE)

    Dr NITIN ANAND SHRIVASTAVA