Dr. Dinesh Kumar Mahto, PhD
BESS Analytics Engineer — Volvo Energy India • Bengaluru
I design data-driven and deep-learning solutions for power system optimization and grid-aware BESS analytics. Passionate about bridging ML and power systems for reliable, efficient grids.
About Me
I completed my Ph.D. in Electrical Engineering at MNIT Jaipur. My research focuses on data-driven optimal power flow, grid-aware machine learning, and management of distributed energy resources.
- Location: Bengaluru, India
- Email: info.dineshmahto@gmail.com
- Phone: +91-9709669452
Skills
Summary
Experienced in grid-scale BESS analytics, OPF, and ML pipelines for power systems. Skilled in data-driven modelling, simulation, and building production-ready ML workflows integrated with power system tools.
Education
- Ph.D. (Electrical Engineering), MNIT Jaipur, India
- M.E. (Power Systems), BIT Mesra, Ranchi
- B.Tech. (Electrical Engineering), BPUT Rourkela
Experience
Selected roles
BESS Analytics Engineer — Volvo Energy
Bengaluru, India • 24-Mar-2025 — PresentWorking on analytics for battery energy storage systems and operational workflows for energy management.
Research Assistant — MNIT Jaipur
Jaipur, India • 06-Jan-2020 — 20-Dec-2024Research and lab work in power system simulation, Conducted BEE lab and Supervise undergraduate and postgraduate students on problem statement and python coding.
Assistant Professor — DAVIET Daltonganj
Daltonganj, India • 04-Sep-2019 — 04-Jan-2020Introdudction to Python Programming, Computational Power Systems
Research Areas
What I work on
Data-driven Modelling
Learning system behavior directly from measurements for faster and scalable models.
Deep Learning
Representation learning and neural approaches for power system tasks.
Optimal Power Flow
Scalable OPF approximations and ML-accelerated solvers.
Active Distribution Networks
DER coordination and active management strategies for smart grids.
Publications
Selected journal and conference papers
- D.K. Mahto, M. Bukya, R. Kumar, A. Mathur, V.K. Saini, “GAT-ADNet: Leveraging Graph Attention Network for Optimal Power Flow in Active Distribution Network with High Renewables,” IEEE Access, doi: 10.1109/ACCESS.2024.3512993.
- D.K. Mahto, V.K. Saini, A. Mathur, R. Kumar, R. Yadav, “GAT-DNet: High Fidelity Graph Attention Network for Distribution Optimal Power Flow Pursuit,” 9th IEEE India International Conference on Power Electronics (IICPE), pp. 1–6, November 2023.
- D.K. Mahto, V.K. Saini, A. Mathur, R. Kumar, S. Verma, “MPGCN-OPF: A Message Passing Graph Convolution Approach for Optimal Power Flow for Distribution Network,” IEEE PEDES, pp. 1–6, December 2022.
- D.K. Mahto, V.K. Saini, A. Mathur, R. Kumar, “Deep Recurrent Mixer Models for Load Forecasting in Distribution Network,” IEEE SeFeT, pp. 1–6, August 2022.
- D.K. Mahto, V.K. Saini, A. Mathur, R. Kumar, A. Saxena, “Data-Driven Approach for Optimal Power Flow in Distribution Network,” ISCON 2021, Mathura, India, pp. 1–6, October 22–23, 2021.
- V.K. Saini, R. Singh, D.K. Mahto, R. Kumar, A. Mathur, “Learning Approach for Energy Consumption Forecasting in Residential Microgrid,” IEEE KPEC, pp. 1–6, April 2022.
- V.K. Saini, B. Singh, D.K. Mahto, A. Mathur, R. Kumar, “Optimal Number of Wind Turbines in Farm Layout with Power Maximization,” IEEE PEDES, pp. 1–6.
- F. Kibriya, D.K. Mahto, A.M. Khalkho, T. Mahto, D.K. Mohanta, “A Machine Learning Approach to the Identification of Voltage Control Area Using Synchrophasor Measurements,” ISAP 2019, New Delhi, India, pp. 1–6.
- F. Kibriya, D.K. Mahto, A.M. Khalkho, T. Mahto, D.K. Mohanta, “Determination of Voltage Control Area Based on Bus Coherency Using Synchronized Phasor Measurements,” IEEE TENCON 2019, pp. 1869–1874.
- D.K. Mahto, F. Kibriya, A.M. Khalkho, D.K. Mohanta, “Data-Driven Approach for Wide Area Generator Coherency Detection Using Synchrophasor Measurements,” IEEE TENSYMP 2019, pp. 771–774.
Contact
Dr. Dinesh Kumar Mahto, PhD
Bengaluru, Karnataka, India
Extracurricular interests
During my leisure time, I stay balanced by playing sports, sharpening my strategic thinking through chess and carrom, and travelling to discover new destinations and perspectives.