Indrasis Chakraborty

According to our database, Indrasis Chakraborty authored at least 24 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Who should I trust? A Visual Analytics Approach for Comparing Net Load Forecasting Models.

Kaustav Bhattacharjee, Soumya Kundu, Indrasis Chakraborty, Aritra Dasgupta

CoRR, 2024

Forte: An Interactive Visual Analytic Tool for Trust-Augmented Net Load Forecasting.

Kaustav Bhattacharjee, Soumya Kundu, Indrasis Chakraborty, Aritra Dasgupta

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2024

2023

Small in-plane oscillations of a slack catenary using assumed modes.

Bidhayak Goswami, Indrasis Chakraborty, Anindya Chatterjee

CoRR, 2023

2022

Device Classification for Industrial Control Systems Using Predicted Traffic Features.

Indrasis Chakraborty, Brian M. Kelley, Brian Gallagher

Frontiers Comput. Sci., 2022

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

Deepthi Sen, Indrasis Chakraborty, Soumya Kundu, Andrew P. Reiman, Ian Beil, Andy Eiden

CoRR, 2022

gridds: a data science toolkit for energy grid machine learning.

Alexander Ladd, Indrasis Chakraborty

Proceedings of the e-Energy '22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022, 2022

2021

Co-Optimization Scheme for the Powertrain and Exhaust Emission Control System of Hybrid Electric Vehicles Using Future Speed Prediction.

Wanshi Hong, Indrasis Chakraborty, Hong Wang, Gang Tao

IEEE Trans. Intell. Veh., 2021

Industrial control system device classification using network traffic features and neural network embeddings.

Indrasis Chakraborty, Brian M. Kelley, Brian Gallagher

Array, 2021

2020

Improving End-Use Load Modeling Using Machine Learning and Smart Meter Data.

Brandon Thayer, Dave Engel, Indrasis Chakraborty, Kevin P. Schneider, Leslie Ponder, Kevin Fox

Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020

Theoretical Development of Controller Transfer applied to Dynamical Systems.

Indrasis Chakraborty, Yan Chen, Jing Li, Draguna L. Vrabie

Proceedings of the e-Energy '20: The Eleventh ACM International Conference on Future Energy Systems, 2020

Stochastic Virtual Battery Modeling of Uncertain Electrical Loads Using Variational Autoencoder.

Indrasis Chakraborty, Sai Pushpak Nandanoori, Soumya Kundu, Karanjit Kalsi

Proceedings of the 2020 American Control Conference, 2020

2019

Identification and Validation of Virtual Battery Model for Heterogeneous Devices.

Sai Pushpak Nandanoori, Indrasis Chakraborty, Thiagarajan Ramachandran, Soumya Kundu

CoRR, 2019

Parametric Optimization Problem Formulation for Connected Hybrid Electric Vehicles Using Neural Network Based Equivalent Model.

Wanshi Hong, Indrasis Chakraborty, Hong Wang

Proceedings of the 90th IEEE Vehicular Technology Conference, 2019

Cross-Categorical Transfer Learning based Composite Load Protection Modeling.

Indrasis Chakraborty, Soumya Kundu, Yuan Liu, Pavel V. Etingov

Proceedings of the Tenth ACM International Conference on Future Energy Systems, 2019

Modeling Flexibility in Uncertain Distributed Energy Resources.

Indrasis Chakraborty, Soumya Kundu, Karanjit Kalsi

Proceedings of the Tenth ACM International Conference on Future Energy Systems, 2019

A sequential DNN based Baseline Energy Prediction Framework with Long term Error Mitigation.

Indrasis Chakraborty, Vikas Chandan, Draguna L. Vrabie

Proceedings of the Tenth ACM International Conference on Future Energy Systems, 2019

2018

Generative Adversarial Network based Autoencoder: Application to Fault Detection Problem for Closed Loop Dynamical Systems.

Indrasis Chakraborty, Rudrasis Chakraborty, Draguna L. Vrabie

Proceedings of the 29th International Workshop on Principles of Diagnosis co-located with 10th IFAC Symposium on Fault Detection, 2018

Virtual Battery Parameter Identification Using Transfer Learning Based Stacked Autoencoder.

Indrasis Chakraborty, Sai Pushpak Nandanoori, Soumya Kundu

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2017

2.5D visual servo control in the presence of time-varying state and input delays.

Indrasis Chakraborty, Siddhartha S. Mehta, Emily A. Doucette, Warren E. Dixon

Proceedings of the 2017 American Control Conference, 2017

Control of an input delayed uncertain nonlinear system with adaptive delay estimation.

Indrasis Chakraborty, Siddhartha S. Mehta, Emily A. Doucette, Warren E. Dixon

Proceedings of the 2017 American Control Conference, 2017

2016

Adaptive boundary control of store induced oscillations in a flexible aircraft wing.

Brendan J. Bialy, Indrasis Chakraborty, Sadettin Cagri Cekic, Warren E. Dixon

Autom., 2016

Control of an uncertain Euler-Lagrange system with known time-varying input delay: A pde-based approach.

Indrasis Chakraborty, Serhat Obuz, Ryan Licitra, Warren E. Dixon

Proceedings of the 2016 American Control Conference, 2016

Compensating for time-varying input and state delays inherent to image-based control systems.

Indrasis Chakraborty, Siddhartha S. Mehta, J. Willard Curtis, Warren E. Dixon

Proceedings of the 2016 American Control Conference, 2016

Image-based tracking control in the presence of time-varying input and state delays.

Indrasis Chakraborty, Serhat Obuz, Warren E. Dixon

Proceedings of the 2016 IEEE Conference on Control Applications, 2016