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

, , and . e-Energy, page 508-515. ACM, (2019)

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Generative Adversarial Network based Autoencoder: Application to Fault Detection Problem for Closed Loop Dynamical Systems., , and . DX@Safeprocess, volume 2289 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)Compensating for time-varying input and state delays inherent to image-based control systems., , , and . ACC, page 78-83. IEEE, (2016)Forte: An Interactive Visual Analytic Tool for Trust-Augmented Net Load Forecasting., , , and . CoRR, (2023)Small in-plane oscillations of a slack catenary using assumed modes., , and . CoRR, (2023)Device Classification for Industrial Control Systems Using Predicted Traffic Features., , and . Frontiers Comput. Sci., (2022)Forte: An Interactive Visual Analytic Tool for Trust-Augmented Net Load Forecasting., , , and . ISGT, page 1-5. IEEE, (2024)gridds: a data science toolkit for energy grid machine learning., and . e-Energy, page 542-551. ACM, (2022)Control of an uncertain Euler-Lagrange system with known time-varying input delay: A pde-based approach., , , and . ACC, page 4344-4349. IEEE, (2016)2.5D visual servo control in the presence of time-varying state and input delays., , , and . ACC, page 3741-3746. IEEE, (2017)Improving End-Use Load Modeling Using Machine Learning and Smart Meter Data., , , , , and . HICSS, page 1-10. ScholarSpace, (2020)