Follow
Raksha Ramakrishna
Raksha Ramakrishna
Postdoctoral Researcher, KTH Royal Institute of Technology
Verified email at kth.se - Homepage
Title
Cited by
Cited by
Year
Phasor measurement units optimal placement and performance limits for fault localization
M Jamei, R Ramakrishna, T Tesfay, R Gentz, C Roberts, A Scaglione, ...
IEEE Journal on Selected Areas in Communications 38 (1), 180-192, 2019
262019
Grid-graph signal processing (grid-GSP): A graph signal processing framework for the power grid
R Ramakrishna, A Scaglione
IEEE Transactions on Signal Processing 69, 2725-2739, 2021
202021
A user guide to low-pass graph signal processing and its applications: Tools and applications
R Ramakrishna, HT Wai, A Scaglione
IEEE Signal Processing Magazine 37 (6), 74-85, 2020
192020
Detection of False Data Injection Attack using Graph Signal Processing for the Power Grid
R Ramakrishna, A Scaglione
2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2019
182019
Distributed bayesian estimation with low-rank data: Application to solar array processing
R Ramakrishna, A Scaglione, A Spanias, C Tepedelenlioglu
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
172019
A model for joint probabilistic forecast of solar photovoltaic power and outdoor temperature
R Ramakrishna, A Scaglione, V Vittal, E Dall’Anese, A Bernstein
IEEE Transactions on Signal Processing 67 (24), 6368-6383, 2019
122019
ON MODELING VOLTAGE PHASOR MEASUREMENTS AS GRAPH SIGNALS
R Ramakrishna, A Scaglione
IEEE Data Science Workshop 2019, 2019
112019
A compressive sensing framework for the analysis of solar photo-voltaic power
R Ramakrishna, A Scaglione
2016 50th Asilomar Conference on Signals, Systems and Computers, 308-312, 2016
102016
A Stochastic Model for Short-Term Probabilistic Forecast of Solar Photo-Voltaic Power
R Ramakrishna, A Scaglione, V Vittal
arXiv preprint arXiv:1706.05445, 2017
52017
JOINT PROBABILISTIC FORECASTS OF TEMPERATURE AND SOLAR IRRADIANCE
R Ramakrishna, A Bernstein, E Dall’Anese, A Scaglione
ICASSP 2018, 2018
32018
Model-based interference cartography and visualization
PN Karthik, R Ramakrishna, G Joseph, CR Murthy, J Sebastian, ...
2016 Twenty Second National Conference on Communication (NCC), 1-6, 2016
32016
SODA: An Irradiance-Based Tool to Generate Sub-Minute Solar Power Stochastic Time Series
I Losada Carreño, R Ramakrishna, A Scaglione, D Arnold, C Roberts, ...
2*2020
Distribution Systems AC State Estimation via Sparse AMI Data Using Graph Signal Processing
SS Saha, A Scaglione, R Ramakrishna, NG Johnson
IEEE Transactions on Smart Grid, 2022
2022
Detection and Localization of PMU Time Synchronization Attacks via Graph Signal Processing
E Shereen, R Ramakrishna, G Dán
IEEE Transactions on Smart Grid, 2022
2022
SoDa: An Irradiance-Based Synthetic Solar Data Generation Tool (SoDa) v0. 1
IL Carreno, A Scaglione, D Pinney, R Ramakrishna
National Rural Electric Cooperative Association (NRECA); Arizona State Univ …, 2021
2021
13 Graph Signal Processing for the Power Grid
A Scaglione, R Ramakrishna, M Jamei
Advanced Data Analytics for Power Systems, 312, 2021
2021
Model-Based Machine Learning for the Power Grid
R Ramakrishna
Arizona State University, 2020
2020
Federating Solar, Storage and Communications in the Electric Grid and Internet of things
R Ramakrishna, N Karakoc, K Hreinsson, A Scaglione
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
2020
A Bayesian lower bound for parameters with bounded support priors
R Ramakrishna, A Scaglione
2020 54th Annual Conference on Information Sciences and Systems (CISS), 1-6, 2020
2020
Network Inference and its Application to the Estimation of Crowd Dynamics from IoT Sensors
N Ravi, R Ramakrishna, HT Wai, A Scaglione
2018 IEEE 19th International Workshop on Signal Processing Advances in …, 2018
2018
The system can't perform the operation now. Try again later.
Articles 1–20