Artiklar med krav på offentlig åtkomst - Prakash Ranganathan Ph.D.Läs mer
Inte tillgängliga någonstans: 16
Convolutional Neural Networks (CNNs) for power system big data analysis
SJ Plathottam, H Salehfar, P Ranganathan
2017 North American Power Symposium (NAPS), 1-6, 2017
Krav: US National Science Foundation
Uncertainty quantification of wind penetration and integration into smart grid: A survey
AS Nair, P Ranganathan, H Salehfar, N Kaabouch
2017 North American Power Symposium (NAPS), 1-6, 2017
Krav: US National Science Foundation
Identification of critical buses based on betweenness-centrality in a smart grid
M Campion, P Ranganathan
2017 IEEE Electrical Power and Energy Conference (EPEC), 1-5, 2017
Krav: US National Science Foundation
Predicting West Nile Virus (WNV) occurrences in North Dakota using data mining techniques
M Campion, C Bina, M Pozniak, T Hanson, J Vaughan, J Mehus, ...
2016 Future technologies conference (ftc), 310-317, 2016
Krav: US National Science Foundation
Residential load identification based on load profile using artificial neural network (ANN)
SJ Buchhop, P Ranganathan
2019 North American Power Symposium (NAPS), 1-6, 2019
Krav: US National Science Foundation
Two-stage load forecasting for residual reduction and economic dispatch using pjm datasets
AS Nair, M Campion, D Hollingworth, P Ranganathan
2018 IEEE International Conference on Electro/Information Technology (EIT …, 2018
Krav: US National Science Foundation
Smart home vulnerabilities–a survey
A Said, A Jama, F Mahamud, J Mohan, P Ranganathan
Proceedings of the International Conference on Embedded Systems, Cyber …, 2018
Krav: US National Science Foundation
A constrained topological decomposition method for the next-generation smart grid
AS Nair, P Ranganathan, N Kaabouch
2017 Second International Conference on Electrical, Computer and …, 2017
Krav: US National Science Foundation
Visualizing and predicting culex tarsalis trapcounts for West Nile Virus (WNV) disease incidence using machine learning models
RA Chinnathambi, A Marquette, T Clark, A Johnson, DF Selvaraj, ...
2020 IEEE international conference on electro information technology (EIT …, 2020
Krav: US National Aeronautics and Space Administration
Short-term forecast analysis on wind power generation data
AS Nair, P Ranganathan, C Finley, N Kaabouch
2021 IEEE Kansas Power and Energy Conference (KPEC), 1-6, 2021
Krav: US National Science Foundation
Improving LMP based day ahead forecasts using Auto Regressive Integrated Moving Average (ARIMA) with shadow pricing, EFORd rates, and transmission loss ratios
B Morrow, C Krokker, D Selvaraj, P Ranganathan
2019 North American Power Symposium (NAPS), 1-6, 2019
Krav: US National Science Foundation
Feasibility Study of Solar Energy System at the University of North Dakota
BK Yesel, JJ Eslinger, M Nord, DF Selvaraj, P Ranganathan
2019 North American Power Symposium (NAPS), 1-5, 2019
Krav: US National Science Foundation
Investigation of Two-Stage Load Forecasting to Minimize Error Residuals
M Campion, A Sukumaran-Nair, A Mukherjee, D Hollingworth, ...
2018 IEEE International Conference on Electro/Information Technology (EIT …, 2018
Krav: US National Science Foundation
Uncertainty quantification of demand response datasets using peridynamics
A Rosener, K Koiner, P Ranganathan
2017 North American Power Symposium (NAPS), 1-6, 2017
Krav: US National Science Foundation
Classification of Microcystins Based on Nutrient Concentration Using Machine Learning Models
MG Sujatha, P Ranganathan, S Korom
2023 IEEE World AI IoT Congress (AIIoT), 0535-0541, 2023
Krav: US National Science Foundation
Multi-variate Factors Assessment of Harmful Algal Blooms (HABs)
MG Sujatha, D Patel, P Ranganathan, S Korom
2023 International Conference on Recent Trends in Electronics and …, 2023
Krav: US National Science Foundation
Tillgängliga någonstans: 12
Cybersecurity challenges in vehicular communications
Z El-Rewini, K Sadatsharan, DF Selvaraj, SJ Plathottam, P Ranganathan
Vehicular Communications 23, 100214, 2020
Krav: US Department of Energy
Cybersecurity attacks in vehicular sensors
Z El-Rewini, K Sadatsharan, N Sugunaraj, DF Selvaraj, SJ Plathottam, ...
IEEE Sensors Journal 20 (22), 13752-13767, 2020
Krav: US Department of Energy
Random forest regressor-based approach for detecting fault location and duration in power systems
Z El Mrabet, N Sugunaraj, P Ranganathan, S Abhyankar
Sensors 22 (2), 458, 2022
Krav: US National Science Foundation, US Department of Energy
Multi-agent systems for resource allocation and scheduling in a smart grid
AS Nair, T Hossen, M Campion, DF Selvaraj, N Goveas, N Kaabouch, ...
Technology and Economics of Smart Grids and Sustainable Energy 3, 1-15, 2018
Krav: US National Science Foundation
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