Sparse evolutionary deep learning with over one million artificial neurons on commodity hardware S Liu, DC Mocanu, ARR Matavalam, Y Pei, M Pechenizkiy Neural Computing and Applications 33, 2589-2604, 2021 | 95 | 2021 |
Sensitivity based Thevenin index with systematic inclusion of reactive power limits ARR Matavalam, V Ajjarapu IEEE Transactions on Power Systems 33 (1), 932-942, 2017 | 44 | 2017 |
Monitoring Long Term Voltage Instability Due to Distribution and Transmission Interaction Using Unbalanced PMU and PMU Measurements ARR Matavalam, A Singhal, V Ajjarapu IEEE Transactions on Smart Grid 11 (1), 873-883, 2019 | 32 | 2019 |
PMU-based monitoring and mitigation of delayed voltage recovery using admittances ARR Matavalam, V Ajjarapu IEEE Transactions on Power Systems 34 (6), 4451-4463, 2019 | 25 | 2019 |
PMU-based distributed non-iterative algorithm for real-time voltage stability monitoring KP Guddanti, ARR Matavalam, Y Weng IEEE Transactions on Smart Grid 11 (6), 5203-5215, 2020 | 24 | 2020 |
Calculating the long term voltage stability margin using a linear index ARR Matavalam, V Ajjarapu 2015 IEEE Power & Energy Society General Meeting, 1-5, 2015 | 23 | 2015 |
Data-driven approach for uncertainty propagation and reachability analysis in dynamical systems ARR Matavalam, U Vaidya, V Ajjarapu 2020 American Control Conference (ACC), 3393-3398, 2020 | 15 | 2020 |
Identifying long term voltage stability caused by distribution systems vs transmission systems R Amarsagar, M Ramapuram, A Singhal, V Ajjarapu 2018 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2018 | 13 | 2018 |
PMU based real-time short term voltage stability monitoring—Analysis and implementation on a real-time test bed A Reddy, K Ekmen, V Ajjarapu, U Vaidya 2014 North American Power Symposium (NAPS), 1-6, 2014 | 13 | 2014 |
Validation of the sensitivity based Thevenin Index on large systems A Reddy, R Matavalam, V Ajjarapu 2017 IEEE Power & Energy Society General Meeting, 1-5, 2017 | 11 | 2017 |
Propagating uncertainty in power system initial conditions using data-driven linear operators ARR Matavalam, U Vaidya, V Ajjarapu IEEE Transactions on Power Systems 37 (5), 4125-4128, 2022 | 10 | 2022 |
Critical comparative analysis of measurement based centralized online voltage stability indices ARR Matavalam, SMH Rizvi, AK Srivastava, V Ajjarapu IEEE Transactions on Power Systems 37 (6), 4618-4629, 2022 | 10 | 2022 |
Curriculum based reinforcement learning of grid topology controllers to prevent thermal cascading ARR Matavalam, KP Guddanti, Y Weng, V Ajjarapu IEEE Transactions on Power Systems 38 (5), 4206-4220, 2022 | 9 | 2022 |
Fast calculation of Thévenin equivalents for real-time steady state voltage stability estimation JAV Vásquez, ARR Matavalam, V Ajjarapu 2016 North American Power Symposium (NAPS), 1-7, 2016 | 9 | 2016 |
Long term voltage stability thevenin index using voltage locus method ARR Matavalam, V Ajjarapu 2014 IEEE PES General Meeting| Conference & Exposition, 1-5, 2014 | 7 | 2014 |
Online identification of cascading events in power systems with renewable generation using measurement data and machine learning GA Nakas, A Dirik, PN Papadopoulos, ARR Matavalam, O Paul, ... IEEE Access, 2023 | 4 | 2023 |
Mitigating delayed voltage recovery using der & load control in distribution systems ARR Matavalam, R Venkatraman, V Ajjarapu 2022 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2022 | 4 | 2022 |
Reliability assessment of industrial circuit breakers with design enhancements ARR Matavalam, AK Bharati 2018 IEEE International Conference on Probabilistic Methods Applied to Power …, 2018 | 4 | 2018 |
Sensor enabled data-driven predictive analytics for modeling and control with high penetration of DERs in distribution systems V Ajjarapu, U Vaidya, M Govindarasu, V Krishnan, ARR Matavalam, ... Iowa State Univ., Ames, IA (United States); Clemson Univ., SC (United States …, 2021 | 3 | 2021 |
PMU based real-time monitoring for delayed voltage response A Reddy, V Ajjarapu 2015 North American Power Symposium (NAPS), 1-6, 2015 | 3 | 2015 |