Dinesh Kumar Mahto, PhD
Consultant at Low Carbon Transition, ClimatePolicyInitiative.org
Delhi, India
Driving the energy transition to a low-carbon, climate-resilient world, I serve as a Grid & Utility-Scale Battery Energy Storage System (BESS) Modelling Specialist, specializing in designing evidence-based solutions to decarbonize global energy systems. As a consultant at ClimatePolicyInitiative.org within the Low-Carbon Transition (LCT) Team, I focus on innovative strategies for grid modernization, clean energy integration, and climate action, with a particular emphasis on advancing energy systems that are both resilient and sustainable.
About Me
Dinesh holds a PhD in Electrical Engineering from Malaviya National Institute of Technology (MNIT), Jaipur, India, and a Master’s in Power System Engineering from Birla Institute of Technology, Mesra, Ranchi, India.
- Location: Delhi, 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
Consultant — ClimatePolicyInitiative.org
Delhi, India • September 2026 — PresentMy work focuses on low-carbon transition, grid modernization, transmission adequacy, renewable energy integration, energy system modelling and optimization, and techno-economic assessment.
Battery System Analyst — SustainabilityEconomics.ai
Bengaluru, India • January 2026 — March 2026Developing AI models for battery energy storage optimization.
BESS Analytics Engineer — Volvo Energy
Bengaluru, India • March 2025 — December 2025Design, development and deployment of a BESS health monitoring tool for secure operation of battery energy storage systems on cloud platform.
Research Assistant — MNIT Jaipur
Jaipur, India • January 2020 — March 2025Research 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 • September 2019 — January 2020Introdudction to Python Programming, Computational Power Systems
Research Areas
What I work on
Battery Modelling
High fidelity physics based lithium-ion battery models for realistic performance and aging analysis.
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.
MLOps
Design, development, deployment of machine learning models on cloud platforms.
Smart Grid Operations
Machine learning solutions for efficient, scalable smart grid operation.
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. [Link]
- 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. [Link]
- 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. [Link]
- 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. [Link]
- 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. [Link]
- 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. [Link]
- 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. [Link]
- 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. [Link]
- 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. [Link]
- 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. [Link]
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.