| A hybrid evolutionary dynamic neural network for stock market trend analysis and prediction using unscented Kalman filter R Bisoi, PK Dash Applied Soft Computing 19, 41-56, 2014 | 161 | 2014 |
| Forecasting financial time series using a low complexity recurrent neural network and evolutionary learning approach AK Rout, PK Dash, R Dash, R Bisoi Journal of King Saud University-Computer and Information Sciences 29 (4 …, 2017 | 143 | 2017 |
| Hybrid variational mode decomposition and evolutionary robust kernel extreme learning machine for stock price and movement prediction on daily basis R Bisoi, PK Dash, AK Parida Applied Soft Computing 74, 652-678, 2019 | 142 | 2019 |
| Short term wind power forecasting using hybrid variational mode decomposition and multi-kernel regularized pseudo inverse neural network J Naik, S Dash, PK Dash, R Bisoi Renewable Energy 118, 180-212, 2018 | 118 | 2018 |
| Prediction interval forecasting of wind speed and wind power using modes decomposition based low rank multi-kernel ridge regression J Naik, R Bisoi, PK Dash Renewable energy 129, 357-383, 2018 | 113 | 2018 |
| A self adaptive differential harmony search based optimized extreme learning machine for financial time series prediction R Dash, PK Dash, R Bisoi Swarm and Evolutionary Computation 19, 25-42, 2014 | 104 | 2014 |
| Modes decomposition method in fusion with robust random vector functional link network for crude oil price forecasting R Bisoi, PK Dash, SP Mishra Applied Soft Computing 80, 475-493, 2019 | 90 | 2019 |
| Variational mode decomposition based low rank robust kernel extreme learning machine for solar irradiation forecasting I Majumder, PK Dash, R Bisoi Energy conversion and management 171, 787-806, 2018 | 86 | 2018 |
| Classification of power quality data using decision tree and chemotactic differential evolution based fuzzy clustering B Biswal, HS Behera, R Bisoi, PK Dash Swarm and Evolutionary Computation 4, 12-24, 2012 | 67 | 2012 |
| Data decomposition based fast reduced kernel extreme learning machine for currency exchange rate forecasting and trend analysis PP Das, R Bisoi, PK Dash Expert Systems with Applications 96, 427-449, 2018 | 55 | 2018 |
| Short-term electricity price forecasting and classification in smart grids using optimized multikernel extreme learning machine R Bisoi, PK Dash, PP Das Neural Computing and Applications 32, 1457-1480, 2020 | 50 | 2020 |
| Short term solar power forecasting using hybrid minimum variance expanded RVFLN and Sine-Cosine Levy Flight PSO algorithm DR Dash, PK Dash, R Bisoi Renewable Energy 174, 513-537, 2021 | 46 | 2021 |
| A differential harmony search based hybrid interval type2 fuzzy EGARCH model for stock market volatility prediction R Dash, PK Dash, R Bisoi International Journal of Approximate Reasoning 59, 81-104, 2015 | 45 | 2015 |
| A new robust kernel ridge regression classifier for islanding and power quality disturbances in a multi distributed generation based microgrid T Chakravorti, NR Nayak, R Bisoi, PK Dash, L Tripathy Renewable Energy Focus 28, 78-99, 2019 | 38 | 2019 |
| Short-term solar power prediction using multi-kernel-based random vector functional link with water cycle algorithm-based parameter optimization RB I Majumder, PK Dash Neural Computing and Applications, pp.1-19, 2019 | 35* | 2019 |
| Deep long short term memory based minimum variance kernel random vector functional link network for epileptic EEG signal classification S Parija, R Bisoi, PK Dash, M Sahani Engineering Applications of Artificial Intelligence 105, 104426, 2021 | 28 | 2021 |
| Optimized droop controller based energy management for stand-alone micro-grid using hybrid monarch butterfly and sine-cosine algorithm J Naik, PK Dash, R Bisoi Sustainable Energy Technologies and Assessments 46, 101310, 2021 | 27 | 2021 |
| Comparison of modified teaching–learning-based optimization and extreme learning machine for classification of multiple power signal disturbances PK Nayak, S Mishra, PK Dash, R Bisoi Neural Computing and Applications 27 (7), 2107-2122, 2016 | 27 | 2016 |
| Probabilistic prediction of wind speed using an integrated deep belief network optimized by a hybrid multi-objective particle swarm algorithm S Sarangi, PK Dash, R Bisoi Engineering Applications of Artificial Intelligence 126, 107034, 2023 | 20 | 2023 |
| A hybrid functional link dynamic neural network and evolutionary unscented Kalman filter for short-term electricity price forecasting SK Dash, R Bisoi, PK Dash Neural Computing and Applications 27 (7), 2123-2140, 2016 | 18 | 2016 |
Smruti Rekha PattnaikAssistant Professor in Electrical Engineering Department.SOA universityE-mail megerősítve itt: soa.ac.in
