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DEBOTTAM MUKHERJEE
DEBOTTAM MUKHERJEE
RESEARCH SCHOLAR
在 itbhu.ac.in 的电子邮件经过验证
标题
引用次数
引用次数
年份
A comprehensive review of condition based prognostic maintenance (CBPM) for induction motor
S Kumar, D Mukherjee, PK Guchhait, R Banerjee, AK Srivastava, ...
IEEE Access 7, 90690-90704, 2019
1152019
Deep learning-based multilabel classification for locational detection of false data injection attack in smart grids
D Mukherjee, S Chakraborty, S Ghosh
Electrical Engineering 104 (1), 259-282, 2022
612022
Data-Driven False Data Injection Attack: A Low-Rank Approach
D Mukherjee
IEEE Transactions on Smart Grid 13 (3), 2479-2482, 2022
392022
Power system state forecasting using machine learning techniques
D Mukherjee, S Chakraborty, S Ghosh
Electrical Engineering 104 (1), 283-305, 2022
312022
A novel strategy for locational detection of false data injection attack
D Mukherjee
Sustainable Energy, Grids and Networks 31, 100702, 2022
232022
Smart home energy management system under false data injection attack
BK Sethi, D Mukherjee, D Singh, RK Misra, SR Mohanty
International Transactions on Electrical Energy Systems 30 (7), e12411, 2020
232020
Application of deep learning for power system state forecasting
D Mukherjee, S Chakraborty, S Ghosh, RK Mishra
International Transactions on Electrical Energy Systems 31 (9), e12901, 2021
222021
Deep learning-based identification of false data injection attacks on modern smart grids
D Mukherjee, S Chakraborty, AY Abdelaziz, A El-Shahat
Energy Reports 8, 919-930, 2022
212022
Machine Learning based Solar Power Generation Forecasting with and without MPPT Controller
D Mukherjee, S Chakraborty, PK Guchhait, J Bhunia
2020 IEEE 1st International Conference for Convergence in Engineering (ICCE …, 2020
182020
Real-time Identification of False Data Injection Attack in Smart Grid
D Mukherjee, S Chakraborty
2021 IEEE Region 10 Symposium (TENSYMP), 1-6, 2021
172021
Detection of data-driven blind cyber-attacks on smart grid: A deep learning approach
D Mukherjee
Sustainable Cities and Society 92, 104475, 2023
162023
Application of Machine Learning for Speed and Torque Prediction of PMS Motor in Electric Vehicles
D Mukherjee, S Chakraborty, PK Guchhait, J Bhunia
2020 IEEE 1st International Conference for Convergence in Engineering (ICCE …, 2020
162020
A Novel False Data Injection Attack Formulation Based on CUR Low-Rank Decomposition Method
D Mukherjee, S Ghosh, RK Misra
IEEE Transactions on Smart Grid 13 (6), 4965-4968, 2022
102022
A Novel Real-Time False Data Detection Strategy for Smart Grid
D Mukherjee, S Chakraborty, R Banerjee, J Bhunia
2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC), 1-6, 2021
92021
Deep Learning Based Real-Time Detection of False Data Injection Attacks in Power Grids
D Mukherjee, S Chakraborty, R Banerjee, J Bhunia, PK Guchhait
2021 22nd International Middle East Power Systems Conference (MEPCON), 124-130, 2021
82021
Optimum Design of a Renewable-Based Integrated Energy System in Autonomous Mode for a Remote Hilly Location in Northeastern India
S Chakraborty, D Mukherjee, PK Guchhait, S Bhattacharjee, AY Abdelaziz, ...
Energies 16 (4), 1588, 2023
72023
Real-time Mitigation of Effects of False Data in Smart Grid: A Data Diode Approach
D Mukherjee, BK Sethi, S Chakraborty, R Banerjee, PK Guchhait, ...
2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC), 1-6, 2021
62021
Power System Fault Classification with Imbalanced Learning for Distribution Systems
D Mukherjee, S Chakraborty, R Banerjee
2020 IEEE 7th Uttar Pradesh Section International Conference on Electrical …, 2020
62020
Intelligent reactive power control of renewable integrated hybrid energy system model using static synchronous compensators and soft computing techniques
PK Guchhait, S Chakraborty, D Mukherjee, R Banerjee
Journal of King Saud University-Engineering Sciences, 2022
52022
A Novel Deep Learning Framework to Identify False Data Injection Attack in Power Sector
D Mukherjee, S Chakraborty, R Banerjee, J Bhunia, PK Guchhait
TENCON 2021-2021 IEEE Region 10 Conference (TENCON), 278-283, 2021
52021
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