Search Results - "Samanta, Indu Sekhar"

A Comprehensive Review of Deep-Learning Applications to Power Quality Analysis by Samanta, Indu Sekhar, Panda, Subhasis, Rout, Pravat Kumar, Bajaj, Mohit, Piecha, Marian, Blazek, Vojtech, Prokop, Lukas

“…Power quality (PQ) monitoring and detection has emerged as an essential requirement due to the proliferation of sensitive power electronic interfacing devices,…”
Get full text

A comprehensive review on demand side management and market design for renewable energy support and integration by Panda, Subhasis, Mohanty, Sarthak, Rout, Pravat Kumar, Sahu, Binod Kumar, Parida, Shubhranshu Mohan, Samanta, Indu Sekhar, Bajaj, Mohit, Piecha, Marian, Blazek, Vojtech, Prokop, Lukas

“…The traditional power system is facing significant transformations due to the integration of emerging technologies, renewable energy sources (RES), and storage…”
Get full text

Feature Extraction and Classification of Power Quality Disturbances Using Optimized Tunable-Q Wavelet Transform and Incremental Support Vector Machine by Samanta, Indu Sekhar, Rout, Pravat Kumar, Swain, Kunjabihari, Mishra, Satyasis, Cherukuri, Murthy

“…The widespread integration of renewable energy sources (RESs) into power systems using power electronics-based interface devices has led to a substantial rise…”
Get full text

Priority-based scheduling in residential energy management systems integrated with renewable sources using adaptive Salp swarm algorithm by Panda, Subhasis, Samanta, Indu Sekhar, Rout, Pravat Kumar, Sahu, Binod Kumar, Bajaj, Mohit, Blazek, Vojtech, Prokop, Lukas, Misak, Stanislav

“…With the remarkable growth and implementation of communication technology, sensors, and measurement equipment in the Smart Grid (SG) environment, demand side…”
Get full text

A hybrid approach for power quality event identification in power systems: Elasticnet Regression decomposition and optimized probabilistic neural networks by Samanta, Indu Sekhar, Rout, Pravat Kumar, Swain, Kunjabihari, Cherukuri, Murthy, Panda, Subhasis, Bajaj, Mohit, Blazek, Vojtech, Prokop, Lukas, Misak, Stanislav

“…The transformation of traditional grid networks towards smart-grid and microgrid concepts raises many critical issues, and quality in the power supply is one…”
Get full text

Fuzzy Markov model for the reliability analysis of hybrid microgrids by Kunjabihari Swain, Murthy Cherukuri, Indu Sekhar Samanta, Abhilash Pati, Jayant Giri, Jayant Giri, Amrutanshu Panigrahi, Hong Qin, Saurav Mallik

“…This research presents a process for analyzing a hybrid microgrid's dependability using a fuzzy Markov model. The research initiated an analysis of the various…”
Get full text

Fault detection technique using time-varying filter-EMD and differential-CUSUM for LVDC microgrid system by Sarangi, Swetalina, Biswal, Chinmayee, Sahu, Binod Kumar, Samanta, Indu Sekhar, Rout, Pravat Kumar

“…•To explain briefly the signal processing techniques and its applications commonly applied in fault detection scenario and highlight their benefits in LVDC…”
Get full text

An optimal extreme learning-based classification method for power quality events using fractional Fourier transform by Samanta, Indu Sekhar, Rout, Pravat Kumar, Mishra, Satyasis

“…Mitigation of power quality events (PQEs) needs an accurate, faster, and efficient detection and classification technique for designing the compensating…”
Get full text

Feature extraction and power quality event classification using Curvelet transform and optimized extreme learning machine by Samanta, Indu Sekhar, Rout, Pravat Kumar, Mishra, Satyasis

“…This article presents an efficient method for power quality events (PQEs) detection and classification based on Curvelet transform (CT) and optimized extreme…”
Get full text

Power quality events recognition using enhanced empirical mode decomposition and optimized extreme learning machine by Samanta, Indu Sekhar, Rout, Pravat Kumar, Swain, Kunjabihari, Cherukuri, Murthy, Mishra, Satyasis

“…•Empirical Mode Decomposition technique is used for feature extraction to detect power quality disturbances.•Kriging interpolation-based Empirical Mode…”
Get full text

Power Quality Events Recognition Using S-Transform and Wild Goat Optimization-Based Extreme Learning Machine by Samanta, Indu Sekhar, Rout, Pravat Kumar, Mishra, Satyasis

“…This paper presents a novel approach for automatic power quality (PQ) event detection and classification based on Stockwell transform (S-transform) and wild…”
Get full text

Dual-tree complex wavelet packet transform and regularized extreme learning machine-based feature extraction and classification of power quality disturbances by Samanta, Indu Sekhar, Rout, Pravat Kumar, Swain, Kunjabihari, Cherukuri, Murthy, Mishra, Satyasis

Get full text

Fast TT transform and optimized probabilistic neural network-based power quality event detection and classification by Samanta, Indu Sekhar, Rout, Pravat Kumar, Mishra, Satyasis, Swain, Kunjabihari, Cherukuri, Murthy

“…This paper accomplishes the detection and classification of power quality disturbances (PQDs) using a fast time–time (TT) analysis and differential evolution…”
Get full text

Power Quality Disturbances Mitigation Techniques for DFIG-based Wind Farm: A Review by Das, Sachin, Dash, Rudranarayan, Samanta, Indu Sekhar

“…Power quality disturbances pose significant challenges to the operation and performance of wind energy conversion systems (WECS). This research paper presents…”
Get full text

Advancements and Challenges in AI and ML-Based Applications for Diabetic Neuropathy: Current State and Future Directions by Joshi, Sukumar, Rout, Pravat Kumar, Samanta, Indu Sekhar, Swain, Kunjabihari

“…Diabetic neuropathy, a common complication of diabetes mellitus, significantly impacts the quality of life for millions of individuals worldwide. It is…”
Get full text

Unmanned Integrated Autonomous Vehicle: Swayambhu by Anand, Ankit, Cherukuri, Murthy, Samanta, Indu Sekhar, Swain, Kunjabihari

“…Every human life is valuable. Soldiers are in charge of security at the country's borders. Many soldiers were killed as a result of terror strikes on the…”
Get full text

Enhanced Seizure Detection through a Robust Denoising Autoencoder with Attention Mechanism by Samanta, Indu Sekhar, Pattanaik, Swarupa, Swain, Kunjabihari, Pati, Abhilash, Panigrahi, Amrutanshu, Sahu, Bibhuprasad

“…Abnormal brain activity is a frequent neurological disease known as epileptic seizures. The application of machine learning to automate seizure detection has…”
Get full text

Optimizing DFIG Wind Farms: Advanced Controls and Energy Storage Integration by Das, Sachin, Samanta, Indu Sekhar, Dash, Rudranarayan, Pati, Abhilash, Kundu, Subhasree, Panigrahi, Amrutanshu

“…This research study introduces a new way to optimize wind farms that use Doubly Fed Induction Generators (DFIGs) by combining energy storage systems with…”
Get full text

Epileptic Seizure Detection using Denoising Autoencoder by Joshi, Sukumar, Rout, Pravat Kumar, Samanta, Indu Sekhar, Cherukuri, Murthy, Swain, Kunjabihari

“…Epileptic seizures are a common neurological disorder characterized by abnormal brain activity. Early and accurate detection of seizures plays a crucial role…”
Get full text

Compatibility Analysis of IoT with 5G and 6G Communication by Samanta, Indu Sekhar, Rout, Pravat Kumar, Lenka, Manas Ranjan, Cherukuri, Murthy, Swain, Kunjabihari

“…The Internet of Things (IoT) has been the talk of the town for quite some time now, and its adoption is growing rapidly. With the growth of IoT, there is a…”
Get full text