activity
20152022
most citedKPF-AE-LSTM: A Deep Probabilistic Model for Net-Load Forecasting in High Solar Scenarios

2 citations · 2 across the 7 of their papers we have counts for

collaborators

11 papers

eess.SP20222 cited

KPF-AE-LSTM: A Deep Probabilistic Model for Net-Load Forecasting in High Solar Scenarios

Deepthi Sen, Indrasis Chakraborty, Soumya Kundu +3

With the expected rise in behind-the-meter solar penetration within the distribution networks, there is a need to develop time-series forecasting methods that can reliably predict…

eess.SP2021

Harmonic Modeling, Data Generation, and Analysis of Power Electronics-Interfaced Residential Loads

Ankit Singhal, Dexin Wang, Andrew P. Reiman +3

Integration of electronics-based residential appliances and distributed energy resources in homes is expected to rise with grid decarbonization. These devices may introduce signifi…

eess.SY2021

Occupancy-Driven Stochastic Decision Framework for Ranking Commercial Building Loads

Milan Jain, Soumya Kundu, Arnab Bhattacharya +5

For effective integration of building operations into the evolving demand response programs of the power grid, real-time decisions concerning the use of building appliances for gri…

eess.SY2020

Model-Agnostic Algorithm for Real-Time Attack Identification in Power Grid using Koopman Modes

Sai Pushpak Nandanoori, Soumya Kundu, Seemita Pal +2

Malicious activities on measurements from sensors like Phasor Measurement Units (PMUs) can mislead the control center operator into taking wrong control actions resulting in disrup…

eess.SY2020

Transient Safety Filter Design for Grid-Forming Inverters

Soumya Kundu, Karanjit Kalsi

Unlike conventional generators, inverter-based generation do not possess any rotational inertia. While grid-forming inverters can synthesize small (virtual) inertia via advanced fe…

eess.SY2020

Stochastic Virtual Battery Modeling of Uncertain Electrical Loads Using Variational Autoencoder

Indrasis Chakraborty, Sai Pushpak Nandanoori, Soumya Kundu +1

Effective utilization of flexible loads for grid services, while satisfying end-user preferences and constraints, requires an accurate estimation of the aggregated predictive flexi…