| An improved sliding window prediction‐based outlier detection and correction for volatile time‐series KG Ranjan, DS Tripathy, BR Prusty, D Jena International Journal of Numerical Modelling: Electronic Networks, Devices …, 0 | 39 | |
| Review of preprocessing methods for univariate volatile time-series in power system applications KG Ranjan, BR Prusty, D Jena Electric Power Systems Research 191, 106885, 0 | 32 | |
| Comparison of Two Data Cleaning Methods as Applied to Volatile Time-Series KG Ranjan, BR Prusty, D Jena 2019 International Conference on Power Electronics Applications and …, 2019 | 12 | 2019 |
| New Performance Evaluation Metrics for Outlier Detection and Correction BR Prusty, N Jain, KG Ranjan, K Bingi, D Jena Sustainable Energy and Technological Advancements, 837-845, 2022 | 2 | 2022 |
| A Detailed Analysis of Adaptive Kernel Density-Based Outlier Detection in Volatile Time Series KG Ranjan, BR Prusty Machine Learning, Advances in Computing, Renewable Energy and Communication …, 2022 | 2 | 2022 |
B Rajanarayan PrustyProfessor & Dean (Research), Galgotias University, INDIAVerified email at ieee.org
