Indrasis Chakraborty

29 papers C 7Journal 13Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Evaluating probabilistic deep learning methods for uncertainty quantification of temperature downscaling. Mach. Learn. Sci. Technol. Yannic Lops, Gemma J. Anderson, Donald D. Lucas, Indrasis Chakraborty, Daniel Galea
2024	—	`conf`	Forte: An Interactive Visual Analytic Tool for Trust-Augmented Net Load Forecasting. ISGT Kaustav Bhattacharjee, Soumya Kundu, Indrasis Chakraborty, Aritra Dasgupta
2024	J	`jnl`	Who should I trust? A Visual Analytics Approach for Comparing Net Load Forecasting Models. CoRR Kaustav Bhattacharjee, Soumya Kundu, Indrasis Chakraborty, Aritra Dasgupta
2023	J	`jnl`	Forte: An Interactive Visual Analytic Tool for Trust-Augmented Net Load Forecasting. CoRR Kaustav Bhattacharjee, Soumya Kundu, Indrasis Chakraborty, Aritra Dasgupta
2023	J	`jnl`	Small in-plane oscillations of a slack catenary using assumed modes. CoRR Bidhayak Goswami, Indrasis Chakraborty, Anindya Chatterjee
2022	J	`jnl`	Device Classification for Industrial Control Systems Using Predicted Traffic Features. Frontiers Comput. Sci. Indrasis Chakraborty, Brian M. Kelley, Brian Gallagher
2022	J	`jnl`	KPF-AE-LSTM: A Deep Probabilistic Model for Net-Load Forecasting in High Solar Scenarios. CoRR Deepthi Sen, Indrasis Chakraborty, Soumya Kundu, Andrew P. Reiman, Ian Beil, Andy Eiden
2022	—	`conf`	gridds: a data science toolkit for energy grid machine learning. e-Energy Alexander Ladd, Indrasis Chakraborty
2021	J	`jnl`	Co-Optimization Scheme for the Powertrain and Exhaust Emission Control System of Hybrid Electric Vehicles Using Future Speed Prediction. IEEE Trans. Intell. Veh. Wanshi Hong, Indrasis Chakraborty, Hong Wang, Gang Tao
2021	J	`jnl`	Industrial control system device classification using network traffic features and neural network embeddings. Array Indrasis Chakraborty, Brian M. Kelley, Brian Gallagher
2020	—	`conf`	Improving End-Use Load Modeling Using Machine Learning and Smart Meter Data. HICSS Brandon Thayer, Dave Engel, Indrasis Chakraborty, Kevin P. Schneider, Leslie Ponder, Kevin Fox
2020	C	`conf`	Stochastic Virtual Battery Modeling of Uncertain Electrical Loads Using Variational Autoencoder. ACC Indrasis Chakraborty, Sai Pushpak Nandanoori, Soumya Kundu, Karanjit Kalsi
2020	J	`jnl`	Stochastic Virtual Battery Modeling of Uncertain Electrical Loads Using Variational Autoencoder. CoRR Indrasis Chakraborty, Sai Pushpak Nandanoori, Soumya Kundu, Karanjit Kalsi
2020	—	`conf`	Theoretical Development of Controller Transfer applied to Dynamical Systems. e-Energy Indrasis Chakraborty, Yan Chen, Jing Li, Draguna L. Vrabie
2019	—	`conf`	A sequential DNN based Baseline Energy Prediction Framework with Long term Error Mitigation. e-Energy Indrasis Chakraborty, Vikas Chandan, Draguna L. Vrabie
2019	—	`conf`	Cross-Categorical Transfer Learning based Composite Load Protection Modeling. e-Energy Indrasis Chakraborty, Soumya Kundu, Yuan Liu, Pavel V. Etingov
2019	J	`jnl`	Identification and Validation of Virtual Battery Model for Heterogeneous Devices. CoRR Sai Pushpak Nandanoori, Indrasis Chakraborty, Thiagarajan Ramachandran, Soumya Kundu
2019	—	`conf`	Modeling Flexibility in Uncertain Distributed Energy Resources. e-Energy Indrasis Chakraborty, Soumya Kundu, Karanjit Kalsi
2019	—	`conf`	Parametric Optimization Problem Formulation for Connected Hybrid Electric Vehicles Using Neural Network Based Equivalent Model. VTC Fall Wanshi Hong, Indrasis Chakraborty, Hong Wang
2018	—	`conf`	Generative Adversarial Network based Autoencoder: Application to Fault Detection Problem for Closed Loop Dynamical Systems. DX@Safeprocess Indrasis Chakraborty, Rudrasis Chakraborty, Draguna L. Vrabie
2018	J	`jnl`	Generative Adversarial Network based Autoencoder: Application to fault detection problem for closed loop dynamical systems. CoRR Indrasis Chakraborty, Rudrasis Chakraborty, Draguna L. Vrabie
2018	C	`conf`	Virtual Battery Parameter Identification Using Transfer Learning Based Stacked Autoencoder. ICMLA Indrasis Chakraborty, Sai Pushpak Nandanoori, Soumya Kundu
2018	J	`jnl`	Virtual Battery Parameter Identification using Transfer Learning based Stacked Autoencoder. CoRR Indrasis Chakraborty, Sai Pushpak Nandanoori, Soumya Kundu
2017	C	`conf`	2.5D visual servo control in the presence of time-varying state and input delays. ACC Indrasis Chakraborty, Siddhartha S. Mehta, Emily A. Doucette, Warren E. Dixon
2017	C	`conf`	Control of an input delayed uncertain nonlinear system with adaptive delay estimation. ACC Indrasis Chakraborty, Siddhartha S. Mehta, Emily A. Doucette, Warren E. Dixon
2016	J	`jnl`	Adaptive boundary control of store induced oscillations in a flexible aircraft wing. Autom. Brendan J. Bialy, Indrasis Chakraborty, Sadettin Cagri Cekic, Warren E. Dixon
2016	C	`conf`	Compensating for time-varying input and state delays inherent to image-based control systems. ACC Indrasis Chakraborty, Siddhartha S. Mehta, J. Willard Curtis, Warren E. Dixon
2016	C	`conf`	Control of an uncertain Euler-Lagrange system with known time-varying input delay: A pde-based approach. ACC Indrasis Chakraborty, Serhat Obuz, Ryan Licitra, Warren E. Dixon
2016	C	`conf`	Image-based tracking control in the presence of time-varying input and state delays. CCA Indrasis Chakraborty, Serhat Obuz, Warren E. Dixon