Venkat Krishnan

Orcid: 0000-0002-7788-0670

According to our database1, Venkat Krishnan authored at least 16 papers between 2015 and 2022.

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Bibliography

2022

2021
On Analytical Construction of Observable Functions in Extended Dynamic Mode Decomposition for Nonlinear Estimation and Prediction.
IEEE Control. Syst. Lett., 2021

Measurement placement in electric power transmission and distribution grids: Review of methods and opportunities.
CoRR, 2021

RAVIS: Resource Forecast and Ramp Visualization for Situational Awareness of Variable Renewable Generation.
Proceedings of the e-Energy '21: The Twelfth ACM International Conference on Future Energy Systems, Virtual Event, Torino, Italy, 28 June, 2021

2020
NREL 30-Second ASI Timeseries April 4-21, 2019.
Dataset, May, 2020

Building Large-Scale U.S. Synthetic Electric Distribution System Models.
IEEE Trans. Smart Grid, 2020

Validation of Synthetic U.S. Electric Power Distribution System Data Sets.
IEEE Trans. Smart Grid, 2020

2019
A Data-Driven Methodology for Probabilistic Wind Power Ramp Forecasting.
IEEE Trans. Smart Grid, 2019

A Copula-Based Conditional Probabilistic Forecast Model for Wind Power Ramps.
IEEE Trans. Smart Grid, 2019

Enabling immersive engagement in energy system models with deep learning.
Stat. Anal. Data Min., 2019

Online Static Load Model Estimation in Distribution Systems.
Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019

2017
Building Foresight in Long-Term Infrastructure Planning Using End-Effect Mitigation Models.
IEEE Syst. J., 2017

Coupling visualization, simulation, and deep learning for ensemble steering of complex energy models.
Proceedings of the IEEE Workshop on Data Systems for Interactive Analysis, 2017

2016
Resilience and robustness in long-term planning of the national energy and transportation system.
Int. J. Crit. Infrastructures, 2016

2015
Enhanced Power System Security Assessment Through Intelligent Decision Trees.
Proceedings of the Complex System Modelling and Control Through Intelligent Soft Computations, 2015

Machine Learning Aided Efficient Tools for Risk Evaluation and Operational Planning of Multiple Contingencies.
Proceedings of the Chaos Modeling and Control Systems Design, 2015


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