I'm
Dr. Dinesh Kumar Mahto, PhD
BESS Analytics Engineer, Volvo Energy India
Bengaluru, India
Data-driven Modelling, Optimal Power Flow, Active Distribution Network
About Me
I have completed Ph.D. in Electrical Engineering at the Malaviya National Institute of Technology (MNIT) Jaipur India. My research area was Data-driven optimal power flow in active distribution network supervised by Dr. Akhilesh Mathur and Professor Rajesh Kumar. My academic research areas were in the intersection of Graph Machine Learning, Optimization, Renewable Integration with objective is to develop scalable and computation-efficient models for large scale complex networks. Before joining MNIT, I pursued M. Tech. degree in Power System Engineering at the Birla Institute of Technology Mesra, Ranchi in 2019. I defended my Master thesis titled “Online identification of coherent generators in multi machine power systems”. In 2019, I joined the DAV Institute of Engineering & Technology as Assistant Professor.
Python
85%
Deep Learning
80%
Machine Learning
80%
MATLAB/Simulink
85%
Pytorch
80%
Tensorflow
85%
Education
M.E (Power Systems)
BIT-Mesra, Ranchi 2019
Bachelor Degree(EEE)
ACE Angul, Odisha 2014
Higher Secondary
DAV Bariatu, Ranchi
Secondary
RTC Buti, Ranchi
Experience
Volvo Energy
Bengaluru, Karnataka
BESS Analytics
Expertise:- BESS Analystics Engineer
MNIT Jaipur
Jaipur, Rajasthan
Research Assistant
Subject:- BEE(LAB), Power System Simulation LAB
DAV Institute of Engineering and Technology
Daltonganj, Jharkhand
Assistant Professor
Subject:- Power System, Control System
Area Of Research
Data-driven Modelling
Data-driven models finds the relationships between the system state variables without explicit knowledge of the physical behavior of the system.
Deep Learning
Deep learning is a part of broader family of machine learning methods based on artificial neural networks with representation learning.
Optimal Power Flow
OPF problem seeks to control the generation/consumption of generators/loads to optimize certain objectives like Operation & Control Planning problems.
Active Distribution Network
Active management of Renewable energy sources and variable load for future smart grid.
PUBLICATIONS
- D.K. Mahto, F. Kibriya, A. M. Khalkho, D.K. Mohanta, “Data Driven Approach for Wide Area Generator Coherency Detection Using Synchrophasor Measurements”, IEEE Kolkata Region 10 Symposium, TENSYMP 2019, 7-9 June.
- F. Kibriya,D.K. Mahto, A. M. Khalkho, D.K. Mohanta, “Determination of Voltage Control Area Based on Bus Coherency Using Synchronized Phasor Measurements”, IEEE Region 10 Symposium, TENCON 2019, 17-20 October.
- F. Kibriya,D.K. Mahto, D. K. Mohanta, “ A Machine Learning A Machine Learning Approach to the Identification of Voltage Control Area Using Synchrophasor Measurements”, ISAP 2019 10-14 december.
- D.K. Mahto, V.K. Saini, A. Mathur, R. Kumar, A. Saxena,"Data Driven Approach for Optimal Power Flow in Distribution Network" IEEE International Conference on Information Systems and Computer Networks (ISCON), October, 22nd-23rd 2021
- D.K. Mahto, V.K. Saini, A. Mathur, R. Kumar,“Deep learning framework for optimal power flow in active distribution Network”
- D.K. Mahto, V.K. Saini, A. Mathur, R. Kumar,“Deep learning framework for optimal power flow in active distribution Network”
- D.K. Mahto, V.K. Saini, A. Mathur, R. Kumar,“Deep learning framework for optimal power flow in active distribution Network”
- D.K. Mahto, V.K. Saini, A. Mathur, R. Kumar,“Deep learning framework for optimal power flow in active distribution Network”
- D.K. Mahto, V.K. Saini, A. Mathur, R. Kumar,“Deep learning framework for optimal power flow in active distribution Network”
Contact
D.K. Mahto
Research Scholar (RAMAN LAB)
RAMAN LAB, MNIT Jaipur, Rajasthan, INDIA