Indrasis Chakraborty

Orcid: 0000-0002-0132-8417

According to our database1, Indrasis Chakraborty authored at least 23 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Forte: An Interactive Visual Analytic Tool for Trust-Augmented Net Load Forecasting.
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.
CoRR, 2023

2022
Device Classification for Industrial Control Systems Using Predicted Traffic Features.
Frontiers Comput. Sci., 2022

KPF-AE-LSTM: A Deep Probabilistic Model for Net-Load Forecasting in High Solar Scenarios.
CoRR, 2022

gridds: a data science toolkit for energy grid machine learning.
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.
IEEE Trans. Intell. Veh., 2021

Industrial control system device classification using network traffic features and neural network embeddings.
Array, 2021

2020
Improving End-Use Load Modeling Using Machine Learning and Smart Meter Data.
Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020

Theoretical Development of Controller Transfer applied to Dynamical Systems.
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.
Proceedings of the 2020 American Control Conference, 2020

2019
Identification and Validation of Virtual Battery Model for Heterogeneous Devices.
CoRR, 2019

Parametric Optimization Problem Formulation for Connected Hybrid Electric Vehicles Using Neural Network Based Equivalent Model.
Proceedings of the 90th IEEE Vehicular Technology Conference, 2019

Cross-Categorical Transfer Learning based Composite Load Protection Modeling.
Proceedings of the Tenth ACM International Conference on Future Energy Systems, 2019

Modeling Flexibility in Uncertain Distributed Energy Resources.
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.
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.
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.
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.
Proceedings of the 2017 American Control Conference, 2017

Control of an input delayed uncertain nonlinear system with adaptive delay estimation.
Proceedings of the 2017 American Control Conference, 2017

2016
Adaptive boundary control of store induced oscillations in a flexible aircraft wing.
Autom., 2016

Control of an uncertain Euler-Lagrange system with known time-varying input delay: A pde-based approach.
Proceedings of the 2016 American Control Conference, 2016

Compensating for time-varying input and state delays inherent to image-based control systems.
Proceedings of the 2016 American Control Conference, 2016

Image-based tracking control in the presence of time-varying input and state delays.
Proceedings of the 2016 IEEE Conference on Control Applications, 2016


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