Indrasis Chakraborty

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 28

Top Topics

Machine Learning

Parameter Identification

Top Venues

IEEE Trans. Intell. Veh.

Publications

Kaustav Bhattacharjee, Soumya Kundu, Indrasis Chakraborty, Aritra Dasgupta
Who should I trust? A Visual Analytics Approach for Comparing Net Load Forecasting Models. CoRR (2024)
Kaustav Bhattacharjee, Soumya Kundu, Indrasis Chakraborty, Aritra Dasgupta
Forte: An Interactive Visual Analytic Tool for Trust-Augmented Net Load Forecasting. ISGT (2024)
Bidhayak Goswami, Indrasis Chakraborty, Anindya Chatterjee
Small in-plane oscillations of a slack catenary using assumed modes. CoRR (2023)
Kaustav Bhattacharjee, Soumya Kundu, Indrasis Chakraborty, Aritra Dasgupta
Forte: An Interactive Visual Analytic Tool for Trust-Augmented Net Load Forecasting. CoRR (2023)
Alexander Ladd, Indrasis Chakraborty
gridds: a data science toolkit for energy grid machine learning. e-Energy (2022)
Indrasis Chakraborty, Brian M. Kelley, Brian Gallagher
Device Classification for Industrial Control Systems Using Predicted Traffic Features. Frontiers Comput. Sci. 4 (2022)
Deepthi Sen, Indrasis Chakraborty, Soumya Kundu, Andrew P. Reiman, Ian Beil, Andy Eiden
KPF-AE-LSTM: A Deep Probabilistic Model for Net-Load Forecasting in High Solar Scenarios. CoRR (2022)
Wanshi Hong, Indrasis Chakraborty, Hong Wang, Gang Tao
Co-Optimization Scheme for the Powertrain and Exhaust Emission Control System of Hybrid Electric Vehicles Using Future Speed Prediction. IEEE Trans. Intell. Veh. 6 (3) (2021)
Indrasis Chakraborty, Brian M. Kelley, Brian Gallagher
Industrial control system device classification using network traffic features and neural network embeddings. Array 12 (2021)
Indrasis Chakraborty, Yan Chen, Jing Li, Draguna L. Vrabie
Theoretical Development of Controller Transfer applied to Dynamical Systems. e-Energy (2020)
Indrasis Chakraborty, Sai Pushpak Nandanoori, Soumya Kundu, Karanjit Kalsi
Stochastic Virtual Battery Modeling of Uncertain Electrical Loads Using Variational Autoencoder. ACC (2020)
Brandon Thayer, Dave Engel, Indrasis Chakraborty, Kevin P. Schneider, Leslie Ponder, Kevin Fox
Improving End-Use Load Modeling Using Machine Learning and Smart Meter Data. HICSS (2020)
Indrasis Chakraborty, Sai Pushpak Nandanoori, Soumya Kundu, Karanjit Kalsi
Stochastic Virtual Battery Modeling of Uncertain Electrical Loads Using Variational Autoencoder. CoRR (2020)
Sai Pushpak Nandanoori, Indrasis Chakraborty, Thiagarajan Ramachandran, Soumya Kundu
Identification and Validation of Virtual Battery Model for Heterogeneous Devices. CoRR (2019)
Indrasis Chakraborty, Soumya Kundu, Karanjit Kalsi
Modeling Flexibility in Uncertain Distributed Energy Resources. e-Energy (2019)
Indrasis Chakraborty, Soumya Kundu, Yuan Liu, Pavel V. Etingov
Cross-Categorical Transfer Learning based Composite Load Protection Modeling. e-Energy (2019)
Indrasis Chakraborty, Vikas Chandan, Draguna L. Vrabie
A sequential DNN based Baseline Energy Prediction Framework with Long term Error Mitigation. e-Energy (2019)
Wanshi Hong, Indrasis Chakraborty, Hong Wang
Parametric Optimization Problem Formulation for Connected Hybrid Electric Vehicles Using Neural Network Based Equivalent Model. VTC Fall (2019)
Indrasis Chakraborty, Rudrasis Chakraborty, Draguna L. Vrabie
Generative Adversarial Network based Autoencoder: Application to Fault Detection Problem for Closed Loop Dynamical Systems. DX@Safeprocess (2018)
Indrasis Chakraborty, Rudrasis Chakraborty, Draguna L. Vrabie
Generative Adversarial Network based Autoencoder: Application to fault detection problem for closed loop dynamical systems. CoRR (2018)
Indrasis Chakraborty, Sai Pushpak Nandanoori, Soumya Kundu
Virtual Battery Parameter Identification using Transfer Learning based Stacked Autoencoder. CoRR (2018)
Indrasis Chakraborty, Sai Pushpak Nandanoori, Soumya Kundu
Virtual Battery Parameter Identification Using Transfer Learning Based Stacked Autoencoder. ICMLA (2018)
Indrasis Chakraborty, Siddhartha S. Mehta, Emily A. Doucette, Warren E. Dixon
Control of an input delayed uncertain nonlinear system with adaptive delay estimation. ACC (2017)
Indrasis Chakraborty, Siddhartha S. Mehta, Emily A. Doucette, Warren E. Dixon
2.5D visual servo control in the presence of time-varying state and input delays. ACC (2017)
Brendan J. Bialy, Indrasis Chakraborty, Sadettin Cagri Cekic, Warren E. Dixon
Adaptive boundary control of store induced oscillations in a flexible aircraft wing. Autom. 70 (2016)
Indrasis Chakraborty, Siddhartha S. Mehta, J. Willard Curtis, Warren E. Dixon
Compensating for time-varying input and state delays inherent to image-based control systems. ACC (2016)
Indrasis Chakraborty, Serhat Obuz, Warren E. Dixon
Image-based tracking control in the presence of time-varying input and state delays. CCA (2016)
Indrasis Chakraborty, Serhat Obuz, Ryan Licitra, Warren E. Dixon
Control of an uncertain Euler-Lagrange system with known time-varying input delay: A pde-based approach. ACC (2016)