P. K. Dash

发表

Short-term electricity price forecasting and classification in smart grids using optimized multikernel extreme learning machine

Ranjeeta Bisoi, P. K. Dash, Pragyan P. Das, 2018, Neural Computing and Applications.

UPFC controller design for power system stabilization with improved genetic algorithm

P. K. Dash, K. P. Basu, A. M. Sharaf, 2003, IECON'03. 29th Annual Conference of the IEEE Industrial Electronics Society (IEEE Cat. No.03CH37468).

Stability assessment and optimal state-feedback system design for PQ-Vf coordination in a PV/DFIG/DSG based microgrid

P. K. Dash, Satyasis Mishra, P. K. Nayak, 2018, Renewable Energy Focus.

Adaptive controller for static reactive-power compensators in power systems

P. C. Panda, P. K. Dash, P. C. Panda, 1987 .

An Efficient Machine Learning Approach for Accurate Short Term Solar Power Prediction

P. K. Dash, Nitasha Sahani, Lokanath Tripathy, 2020, 2020 International Conference on Computational Intelligence for Smart Power System and Sustainable Energy (CISPSSE).

Neuro-Swarm Techniques for Classifier Design

Ganapati Panda, P. K. Dash, B. B. Misra, 2012 .

An improved cuckoo search based extreme learning machine for medical data classification

P. K. Dash, P. Mohapatra, S. Chakravarty, 2015, Swarm Evol. Comput..

Analysis of voltage instability problems in two- and multiterminal HVDC systems connected to weak AC systems

P. K. Dash, Adel M. Sharaf, E. F. Hill, 1992 .

Short-term solar power prediction using multi-kernel-based random vector functional link with water cycle algorithm-based parameter optimization

Ranjeeta Bisoi, P. K. Dash, Irani Majumder, 2019, Neural Computing and Applications.

New Algorithms for Computer Based Power System Measurements for Relaying

P. K. Dash, Adel M. Sharaf, H. P. Khincha, 1988 .

Analysis and damping of subsynchronous oscillations in AC—HVDC power systems

P. K. Dash, Adel M. Sharaf, A. K. Panigrahi, 1989 .

Modes decomposition method in fusion with robust random vector functional link network for crude oil price forecasting

Ranjeeta Bisoi, P. K. Dash, Satyasis Mishra, 2019, Appl. Soft Comput..

An evolutionary hybrid Fuzzy Computationally Efficient EGARCH model for volatility prediction

P. K. Dash, Rajashree Dash, P. Dash, 2016, Appl. Soft Comput..

Detection of islanding and non-islanding fault disturbances in microgrid using LMD and deep stacked RVFLN based auto-encoder

P. K. Dash, Lipsa Priyadarshini, P. Dash, 2021, Electrical Engineering.

Frequency estimation of distorted non-stationary signals using complex H∞ filter

P. K. Dash, Harish Kumar Sahoo, N. P. Rath, 2012 .

Genetically Optimized Neuro-Fuzzy IPFC for Damping Modal Oscillations of Power Systems

P. K. Dash, M. Tripathy, P. K. Hota, 2002, IEEE Power Engineering Review.

Fast frequency and harmonic estimation in power systems using a new optimized adaptive filter

P. K. Dash, P. Dash, J. P. Patra, 2013 .

Power Quality Disturbance Data Compression, Detection, and Classification Using Integrated Spline Wavelet and S-Transform

P. K. Dash, B. K. Panigrahi, D. K. Sahoo, 2002, IEEE Power Engineering Review.

Fault classification and location using HS-transform and radial basis function neural network

Ganapati Panda, P. K. Dash, Subhransu Ranjan Samantaray, 2006 .

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

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

Short Term Wind Power Forecasting using Hybrid Variational Mode Decomposition and Multi-Kernel Regularized Pseudo Inverse Neural Network

Sujit Kumar Dash, Ranjeeta Bisoi, P. K. Dash, 2018 .