2 citations · 2 across the 1 of their papers we have counts for
4 papers
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…
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…
Virtual Battery Parameter Identification using Transfer Learning based Stacked Autoencoder
Indrasis Chakraborty, Sai Pushpak Nandanoori, Soumya Kundu
Recent studies have shown that the aggregated dynamic flexibility of an ensemble of thermostatic loads can be modeled in the form of a virtual battery. The existing methods for com…
Generative Adversarial Network based Autoencoder: Application to fault detection problem for closed loop dynamical systems
Indrasis Chakraborty, Rudrasis Chakraborty, Draguna Vrabie
Fault detection problem for closed loop uncertain dynamical systems, is investigated in this paper, using different deep learning based methods. Traditional classifier based method…