Jyotirmayee Naik

Short-term wind speed and wind power prediction using hybrid empirical mode decomposition and kernel ridge regression

Jyotirmayee Naik, Prachitara Satapathy, P.K. Dash · Applied Soft Computing · 2017 · 190 citations

Engineering, Wind Power Generation, Energy Forecasting +7

Adaptive VMD based optimized deep learning mixed kernel ELM autoencoder for single and multistep wind power forecasting

Vijaya Krishna Rayi, Sthita Prajna Mishra, Jyotirmayee Naik et al. · Energy · 2021 · 137 citations

Adaptive Vmd, Engineering, Wind Power Generation +10

A multi-objective wind speed and wind power prediction interval forecasting using variational modes decomposition based Multi-kernel robust ridge regression

Jyotirmayee Naik, P.K. Dash, Snehamoy Dhar · Renewable Energy · 2019 · 127 citations

Multi-objective Wind Speed, Forecasting Methodology, Engineering +9

Prediction interval forecasting of wind speed and wind power using modes decomposition based low rank multi-kernel ridge regression

Jyotirmayee Naik, Ranjeeta Bisoi, P.K. Dash · Renewable Energy · 2018 · 114 citations

Forecasting Methodology, Engineering, Energy Forecasting +7

Short term wind power forecasting using hybrid variational mode decomposition and multi-kernel regularized pseudo inverse neural network

Jyotirmayee Naik, Sujit Kumar Dash, P.K. Dash et al. · Renewable Energy · 2017 · 112 citations

Forecasting Methodology, Engineering, Wind Power Generation +6