2 citations · 5 across the 8 of their papers we have counts for
8 papers
Who should I trust? A Visual Analytics Approach for Comparing Net Load Forecasting Models
Kaustav Bhattacharjee, Soumya Kundu, Indrasis Chakraborty +1
Net load forecasting is crucial for energy planning and facilitating informed decision-making regarding trade and load distributions. However, evaluating forecasting models' perfor…
Forte: An Interactive Visual Analytic Tool for Trust-Augmented Net Load Forecasting
Kaustav Bhattacharjee, Soumya Kundu, Indrasis Chakraborty +1
Accurate net load forecasting is vital for energy planning, aiding decisions on trade and load distribution. However, assessing the performance of forecasting models across diverse…
Small in-plane oscillations of a slack catenary using assumed modes
Bidhayak Goswami, Indrasis Chakraborty, Anindya Chatterjee
In this paper we study a problem in oscillations wherein the assumed modes method offers some analytical and theoretical peculiarities. Specifically, we study small in-plane oscill…
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…
Identification and Validation of Virtual Battery Model for Heterogeneous Devices
Sai Pushpak Nandanoori, Indrasis Chakraborty, Thiagarajan Ramachandran +1
The potential of distributed energy resources in providing grid services can be maximized with the recent advancements in demand side control. Effective utilization of this control…
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…