Dr. Sannistha Banerjee

Assistant Professor ,Ph.D(NITDGP)

Electrical Engineering

sannistha@hetc.ac.in

Teaching Experience :

16 years

Research Experience :

7 years

Research Interest:

Power system transient stability studies . Signal processing and advanced data processing technique . Application of machine learning . Incorporation of renewable energy sources in power distribution network

Teaching Interest:

Power System, Circuit and Network, Electrical Machines, Control System

Publication

  1. Sannistha Banerjee and Partha Sarathee Bhowmik, “A machine learning approach based on decision tree algorithm for classification of transient events in microgrid”, Electrical Engineering, Springer Nature, 105, 2083-2093, https://doi.org/10.1007/s00202-023-01796-5, 2023
  2. Sannistha Banerjee and Partha Sarathee Bhowmik “Multiclass Transient Events Classification in Hybrid Distribution Network based on Co-training of Fine KNN and Ensemble KNN Classifier”, Smart Science, Taylor & Francis, 11:4, 744-758, https://doi.org/10.1080/23080477.2023.2256531, 2023
  3. Sannistha Banerjee and Partha Sarathee Bhowmik, “Machine learning based classifiers for dynamic and transient disturbance classification in smart microgrid system”, Measurement, Elsevier, 240, 115576, https://doi.org/10.1016/j.measurement.2024.115576, 2024
  4. Chandan Jana, Sannistha Banerjee, Subhajit Maur, and Sovan Dalai, “Mathematical Morphology based Sensing of Power System Disturbances using PCA aided Support Vector Machine”, IEEE Sensors Journal, 24:11, 18035-18042, https://doi.org/10.1109/JSEN.2024.3389047, 2023
  5. Chandan Jana, Sannistha Banerjee, Subhajit Maur, and Sovan Dalai, “Power System Disturbance Classification using CWT Guided Customized AlexNet CNN”, IEEE Sensors Letters, 8:6, 1-4, https://doi.org/10.1109/LSENS.2024.3400903, 2024
  6. Chandan Jana, Sannistha Banerjee, Subhajit Maur, and Sovan Dalai, “Sensing of Power System Disturbances using CNN-Aided Tailored BiLSTM Model”, IEEE Sensors Journal, https://doi.org/10.1109/JSEN.2024.3459691 (In Press), 2024

Conference Proceeding:

  1. Sannistha Banerjee, Partha Sarathee Bhowmik and Aashish Kumar Bohre, “Detection and Location of Fault in Microgrid using Discrete Wavelet Transform based Technique,” 2022 IEEE 6th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON), Durgapur, India, 2022, pp. 417-421, Download link:-https://doi.org/10.1109/CATCON56237.2022.10077697
  2. Sannistha Banerjee and Partha Sarathee Bhowmik, “Transient Disturbances and Islanding Detection in Micro Grid using Discrete Wavelet Transform,” 2020 IEEE Calcutta Conference (CALCON), Kolkata, India, 2020, pp. 396-401, Download link: https://doi.org/10.1109/CALCON49167.2020.9106498
  3. Chandan Jana, Subhajit Maur, Sannistha Banerjee, Sovan Dalai “Wavelet Aided KNN Based Power System Disturbances Classification”, 3rd IEEE Conference on Applied Signal processing (ASPCON 2023), Nov 24-25, 2023, Haldia, WB, India, pp. 306-309, https://doi.org/10.1109/ASPCON59071.2023.10395968.
  4. Chandan Jana, Debolina Pradhan, Sannistha Banerjee, Mousumi Jana Bala, “Optimal Placement of Distributed Generation for Minimization of Power Loss, Carbon Emission and Voltage Deviation Considering Demand Uncertainty”, International Conference on Computer, Electrical & Communication Engineering (ICCECE) 2024, 2nd-3rd February 2024, WB. India, pp. 1-7, https://doi.org/10.1109/ICCECE58645.2024.10497268.