Prediction interval estimation of electricity prices using PSO-tuned support vector machines NA Shrivastava, A Khosravi, BK Panigrahi IEEE Transactions on Industrial Informatics 11 (2), 322-331, 2015 | 171 | 2015 |
Streamflow forecasting by SVM with quantum behaved particle swarm optimization S Ch, N Anand, BK Panigrahi, S Mathur Neurocomputing 101, 18-23, 2013 | 168 | 2013 |
A hybrid wavelet-ELM based short term price forecasting for electricity markets NA Shrivastava, BK Panigrahi International Journal of Electrical Power & Energy Systems 55, 41-50, 2014 | 142 | 2014 |
Development of an artificial neural network based multi-model ensemble to estimate the northeast monsoon rainfall over south peninsular India: an application of extreme … N Acharya, NA Shrivastava, BK Panigrahi, UC Mohanty Climate dynamics 43, 1303-1310, 2014 | 125 | 2014 |
A multiobjective framework for wind speed prediction interval forecasts NA Shrivastava, K Lohia, BK Panigrahi Renewable energy 87, 903-910, 2016 | 83 | 2016 |
Electricity price classification using extreme learning machines NA Shrivastava, BK Panigrahi, MH Lim Neural Computing and Applications 27, 9-18, 2016 | 26 | 2016 |
Point and prediction interval estimation for electricity markets with machine learning techniques and wavelet transforms NA Shrivastava, BK Panigrahi Neurocomputing 118, 301-310, 2013 | 23 | 2013 |
Voltage Profile enhancement through optimal placement of FACTS devices using Queen-Bee-Assisted GA K Sundareswaran, P Bharathram, M Siddharth, G Vaishnavi, ... 2009 International Conference on Power Systems, 1-5, 2009 | 20 | 2009 |
Wind ramp event prediction with parallelized gradient boosted regression trees S Gupta, NA Shrivastava, A Khosravi, BK Panigrahi 2016 International Joint Conference on Neural Networks (IJCNN), 5296-5301, 2016 | 15 | 2016 |
Prediction interval estimations for electricity demands and prices: a multi‐objective approach NA Shrivastava, BK Panigrahi IET Generation, Transmission & Distribution 9 (5), 494-502, 2015 | 15 | 2015 |
Groundwater level forecasting using SVM-QPSO C Sudheer, NA Shrivastava, BK Panigrahi, S Mathur Swarm, Evolutionary, and Memetic Computing: Second International Conference …, 2011 | 15 | 2011 |
Prediction interval estimation for electricity price and demand using support vector machines NA Shrivastava, A Khosravi, BK Panigrahi 2014 International Joint Conference on Neural Networks (IJCNN), 3995-4002, 2014 | 10 | 2014 |
Design and development of a feedback controller for boost converter using artificial immune system K Sundereswaran, V Devi, NA Shrivastava Electric Power Components and Systems 39 (10), 1007-1018, 2011 | 9 | 2011 |
M. siddharth, Vaishavi. G, Nitin Anand Srivastava, Harish Sharma: Voltage Profile enhancement through optimal placement of FACTS devices using Queen Bee Assisted GA K Sundareswaran, P Bharathram The 3rd international conference on power systems, Kharagapur, 2009 | 7 | 2009 |
A game theory strategy-based bidding evaluation for power generation market S Kumar, B Dwivedi, NA Shrivastava IEEE Canadian Journal of Electrical and Computer Engineering 44 (3), 283-288, 2021 | 6 | 2021 |
A comparative analysis of multi-objective optimization algorithms for stand-alone hybrid renewable energy system S Husain, NA Shrivastava 2020 2nd International Conference on Innovative Mechanisms for Industry …, 2020 | 6 | 2020 |
Prediction interval estimation for wind farm power generation forecasts using support vector machines NA Shrivastava, A Khosravi, BK Panigrahi 2015 International Joint Conference on Neural Networks (IJCNN), 1-7, 2015 | 6 | 2015 |
A novel controller design for small-scale islanded microgrid integrated with electric vehicle-based energy storage management N Omar, A Kumar Tiwari, K Seethalekshmi, N Anand Shrivastava International Transactions on Electrical Energy Systems 2022, 2022 | 4 | 2022 |
Stand-alone hybrid renewable energy system: Optimization and sensitivity analysis S Husain, NA Shrivastava 2020 International Conference on Electrical and Electronics Engineering …, 2020 | 4 | 2020 |
Price forecasting using computational intelligence techniques: A comparative analysis NA Shrivastava, S Ch, BK Panigrahi 2011 International Conference on Energy, Automation and Signal, 1-6, 2011 | 4 | 2011 |