Publications

EnCortex: A General, Extensible and Scalable Framework for Decision Management in New-age Energy Systems

Under Review in USENIX NSDI, 2023

EnCortex provides a general, easy-to-use, extensible, and scalable energy decision framework that enables operators to plan, build and execute their real-world scenarios efficiently. We show that using EnCortex, we can define and compose complex new-age scenarios, owing to industry-standard abstractions of energy entities and the modularity of the framework. Read more

Machine Learning Based Adaptive Fault Diagnosis considering Hosting Capacity Amendment in Active Distribution Network

Electric Power Systems Research Journal, 2023

Augmentation of distributed energy resources (DERs) safely in the distribution system termed as hosting capacity (HC) is one of the prominent needs to achieve energy sufficiency with minimum emission. However, any amendment in HC over premeditated injection sets up challenges in the perspective of situational awareness (SA) of networks for precise decision-making related to fault prediction and location. In this work, the author(s) propose histogram-based gradient boost (HGB) algorithm, an accurate machine learning (ML) technique for fault type detection and localization. Read more

Sourav Kumar Sahu, Millend Roy, Soham Dutta, Debomita Ghosh, Dusmanta Kumar Mohanta, "Machine learning based adaptive fault diagnosis considering hosting capacity amendment in active distribution network," Electric Power Systems Research, Volume 216, 2023, 109025, ISSN 0378-7796, https://doi.org/10.1016/j.epsr.2022.109025.

A Data Driven Fault Detection Approach with an Ensemble Classifier based Smart Meter in Modern Distribution System

Sustainable Energy, Grids and Networks Journal, 2023

To maintain the continuity of the power supply, a fast and accurate fault detection strategy is required to isolate the fault. In view of this, the paper presents a data driven fault detection approach with an ensemble classifier based smart meter in modern distribution system. To achieve this, a random forest (RF) based fault detection algorithm is programmed within the smart meter. Read more

Soham Dutta, Sourav Kumar Sahu, Millend Roy, Swarnali Dutta, A data driven fault detection approach with an ensemble classifier based smart meter in modern distribution system, Sustainable Energy, Grids and Networks, Volume 34, 2023, 101012, ISSN 2352-4677, https://doi.org/10.1016/j.segan.2023.101012.

Reliable Energy Consumption Modeling for an Electric Vehicle Fleet

ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies (COMPASS), 2022

Millend Roy, Akshay Nambi, Anupam Sobti, Tanuja Ganu, Shivkumar Kalyanaraman, Shankar Akella, Jaya Subha Devi, and S A Sundaresan. 2022. "Reliable Energy Consumption Modeling for an Electric Vehicle Fleet," ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies (COMPASS), Association for Computing Machinery, New York, NY, USA, 29–44, doi: 10.1145/3530190.3534803.

A Deep Learning Framework for Enhancing Maritime Coastal Security

IEEE 2nd International Conference for Emerging Technology (INCET), 2021

M. Roy, A. Gautam and A. Sugandhi, "A Deep Learning Framework for Enhancing Maritime Coastal Security," 2021 2nd International Conference for Emerging Technology (INCET), 2021, pp. 1-6, doi: 10.1109/INCET51464.2021.9456235.

Renewable Energy and Demand Forecasting in an Integrated Smart Grid

IEEE International Conference on Innovations in Energy Management and Renewable Resources (IEMRE), 2021

V. V. S. Lanka, M. Roy, S. Suman and S. Prajapati, "Renewable Energy and Demand Forecasting in an Integrated Smart Grid," 2021 Innovations in Energy Management and Renewable Resources(52042), 2021, pp. 1-6, doi: 10.1109/IEMRE52042.2021.9386524.