Dr K. V. Govardhan Rao

@smec.ac.in

Associate Professor in Electrical and Electronics Engineering
St. Martin's Engineering College

Dr K. V. Govardhan Rao


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https://researchid.co/kvgovardhanrao
He is currently working as Assistant Professor in Electrical and Electronics Engineering Department, St. Martin’s Engineering College, Dhulapally, Secunderabad, Telangana. He has more than 12 years of teaching experience. He Published over 40 Papers in various reputed journals, attended 10 conferences with ISBN number along with 04 best paper awards, and published 06 Indian Patent. He guides 05 M. Tech students and 18 B.Tech Students. He is also a life member in Indian Society for Technical Education and Indian Association for Engineers. His areas of research include Power Electronics, Power Systems, Converters, and many.

EDUCATION

He is persuing Post doctoral fellowship at SR University, Warangal, Telangana, India. He holds a Doctor of Philosophy Degree from Koneru Lakshmaiah Educational Foundation (KL Deemed to be University), Vijayawada Campus. He Completed his Master of Technology and Bachelor degree at Abdul Kalam Institute of Technological Sciences, Vepalagadda, Kothagudem affiliated to JNTU Hyderabad.

RESEARCH, TEACHING, or OTHER INTERESTS

Electrical and Electronic Engineering, Energy Engineering and Power Technology, Renewable Energy, Sustainability and the Environment, Control and Systems Engineering
53

Scopus Publications

313

Scholar Citations

10

Scholar h-index

10

Scholar i10-index

Scopus Publications

  • Intelligent RBF neural network-based control for dynamic stability and power control in renewable-integrated microgrids
    Venkatesh Chiluka, G. G. Raja Sekhar, Ch. Rami Reddy, K. V. Govardhan Rao, M. Kiran Kumar, et al.
    Scientific Reports, 2026
  • Hybrid Fennec Fox–Sand Cat optimized cascaded ANFIS MPPT for enhanced control of DFIG-based WECS with grid support
    Prashanth Rajanala, Malligunta Kiran Kumar, K. V. Govardhan Rao, Ch. Rami Reddy, D. Ravi Kumar, et al.
    Scientific Reports, 2026
  • Smart charging of electric vehicles at a charging station using machine learning and pressure pad energy harvesting
    Kumara Swamy Tadi, Ganapaneni Swapna, Kambhampati Venkata Govardhan Rao, Malligunta Kiran Kumar, Srungaram Ravi Teja
    Bulletin of Electrical Engineering and Informatics, 2026
    The rapid growth of electric vehicles (EVs) demands intelligent, cost-effective, and sustainable charging solutions. This paper introduces a smart EV charging station system that integrates machine learning (ML) with pressure pad–based energy harvesting. The system forecasts energy demand, predicts vehicle types and slot needs, and recommends optimal charging times using real-time data such as state of charge (SoC), battery health, and user behavior patterns. ML models such as long short-term memory (LSTM) and random forest are employed to ensure accurate scheduling and forecasting. A smart display, the display slot indicator (DSI), powered by sensors and station data, guides users with live cost, time, and slot availability, including alternate suggestions during peak demand. The pressure pad not only contributes to energy recovery but also aids in real-time vehicle detection and traffic regulation within the station. With scalable capacity and intelligent automation, this system can support more than 400 EVs per day, minimizing operational load and energy waste while maximizing convenience and sustainability.
  • Enhancing urban EV integration: a data-driven hybrid approach to charging station optimization and energy management
    Shaik Mohammed Hussain, Ganapaneni Swapna, Kambhampati Venkata Govardhan Rao, Malligunta Kiran Kumar, Srungaram Ravi Teja
    Bulletin of Electrical Engineering and Informatics, 2026
    Electric vehicles (EVs) are pivotal to sustainable urban mobility, but their large-scale adoption in developing cities depends on efficient charging infrastructure and grid stability. This study proposes a hybrid deep learning framework to optimize EV charging station placement and energy scheduling in Vijayawada, India, projected to host 70,000 EVs by 2028. A convolutional neural network (CNN) is employed to classify charger types (Fast vs. Level 2) based on spatial features such as geospatial coordinates, population density, and traffic volume, while a long short-term memory (LSTM) network forecasts hourly charging demand using synthetic 24-hour sequences. The dataset comprises 108 candidate locations, designed to mirror real usage patterns. Model performance is evaluated using classification accuracy and mean absolute error (MAE). Results indicate that the CNN achieved 92% accuracy in charger type prediction, while the LSTM produced an hourly demand forecast with an MAE of 25 sessions/hour. These outcomes demonstrate the framework’s ability to reduce grid stress by shifting peak loads and strategically placing chargers in high-demand zones. The study provides a scalable and adaptable solution for EV infrastructure planning, enabling resilient grid integration, and supporting sustainable urban energy systems.
  • Optimized control approach for bidirectional wireless power transfer systems with vehicle-to-grid integration
    Mareedu Hari Venkatesh, Malligunta Kiran Kumar, Chandra Babu Guttikonda, Thalanki Venkata Sai Kalyani, Kambhampati Venkata Govardhan Rao
    Bulletin of Electrical Engineering and Informatics, 2026
    The transition to electric vehicles (EVs) has intensified the need for efficient vehicle-to-grid (V2G) and grid-to-vehicle (G2V) systems. Bidirectional wireless power transfer (BWPT) presents a seamless and intelligent approach to energy exchange, particularly under dynamic tariff and grid demand conditions. This study aims to model and simulate a Python-based rule-driven BWPT system to evaluate energy efficiency and economic performance in V2G/G2V applications. A synthetic dataset representing grid demand and time-of-use (TOU) pricing over seven days was used to simulate real-world operating conditions. The model incorporates state-of-charge (SoC) dynamics, bidirectional power control logic, and profit calculation using a 15-minute resolution over 672 time steps. The simulation achieved a total energy exchange of 122.8 kWh and a cumulative net profit of ?536.67, with daily profits averaging ?76.6. SoC levels were effectively maintained between 20% and 90%, and power flows adapted accurately to tariff variations. The study confirms the feasibility of a lightweight, reproducible BWPT model capable of delivering optimized energy management and economic returns. The simulation approach offers strong potential for academic, research, and pre-deployment evaluation of intelligent charging systems.
  • Advanced artificial intelligence-based multi-sensor fusion for environmental perception in autonomous electric vehicles
    Billu Naveen, Malligunta Kiran Kumar, Thalanki Venkata Sai Kalyani, Thulasi Bikku, Kambhampati Venkata Govardhan Rao
    Bulletin of Electrical Engineering and Informatics, 2026
    As autonomous electric vehicles (AEVs) continue to evolve, the demand for robust obstacle detection systems becomes increasingly critical to ensure safety, efficiency, and adaptability in real-world environments. This review presents a comprehensive synthesis of recent advancements in sensor fusion technologies, emphasizing the integration of light detection and ranging(LiDAR), radar, and camera-based vision systems. It highlights the role of deep learning architectures—such as you only look once (YOLO), convolutional neural networks (CNNs), and related neural models—in enhancing object detection, classification, and segmentation. The review categorizes key research themes, including fusion methodologies, real-time processing, edge computing, performance in adverse weather conditions, pedestrian detection, and sensor calibration. Special attention is paid to techniques that merge spatial, velocity, and semantic data to mitigate individual sensor limitations. The paper also discusses hardware-accelerated solutions for low-latency inference and the use of lightweight models for deployment on edge devices. Benchmark datasets, of vehicle-to-everything (V2X) and internet of thing (IoT)-based infrastructure, and calibration challenges are examined for their roles in ensuring accuracy and reliability. Drawing from over 100 referenced studies, this work serves as a foundational resource for researchers and developers aiming to advance artificial intelligence (AI)-based sensor fusion systems in next-generation AEVs.
  • An Enhanced Loss Model–Based Online Flux Optimization Technique for Vector-Controlled Induction Motor Drives Including Leakage Inductance
    B Hima Deepthi, P Srinivasa, M Kiran Kumar, K V Govardhan Rao
    International Journal of Electrical and Electronics Research, 2026
    A fresh and original approach is presented in this research as a means of controlling the amount of flux that is produced by an induction motor drive. Some of the algorithms that are used to decrease losses in induction motors include a loss-model based technique, which is one of several algorithms. Two advantages of this technique are its quick response and accurate conclusions. On the other hand, precise motor drive and loss modelling is necessary for the success of this strategy. During the process of developing the loss model, one of the ongoing challenges is to achieve accuracy while simultaneously controlling complexity. In the present work, an improved controlling approach is proposed for the purpose of determining the optimal flux level for a vector-controlled induction motor in order to achieve the highest possible efficiency of the drive. In a dq model of an Induction Motor (IM), the rotor magnetizing current serves as a reference point for the model. After this transformation eliminates any rotor-side leakage inductance, we are able to derive the motor loss model by making use of the dq components that are included in the steady-state motor model. The problem of leaking inductances is not ignored by the new method, despite the fact that it is a straightforward application.
  • A Comprehensive Review of Solar Power Transmission System Device Health Condition Monitoring in Real Time
    Kambhampati Venkata Govardhan Rao, K. Shashidhar Reddy, Thalanki Venkata Sai Kalyani, Ramchandra Nittala, Malligunta Kiran Kumar
    Communications in Computer and Information Science, 2026
  • Smart wireless charging architecture for electric vehicles using resonant inductive coupling and low-component design
    Devarakonda Mahidhar, Burthi Loveswara Rao, K. V. Govardhan Rao, C. H. Rami Reddy
    International Journal of Applied Power Engineering, 2025
    <span lang="EN-US">A wireless power transfer system designed for electro-vehicle recharge and low-power device charging is explained in this document through resonant inductive coupling technology. Once switched on the pulse generator and IRF540 MOSFETs from the IC CD4047 drive high-frequency signals through the transmitter coil. IR sensors function as operational safety tools by detecting valid receivers which activate a relay control system for transmitter power management and reduce unnecessary energy consumption. A full-wave rectifier along with the 7805-voltage regulator enables the receiver unit to deliver fully stable 5 V DC output. System status is displayed through a user interface equipped with an LCD and real-time billing information runs on ThingSpeak IoT platform for visualization. Tests show that the system reaches a maximum power transfer efficiency of 90% alongside successful relay operation lasting less than 150 ms. The system provides an inexpensive solution to build smart wireless charging infrastructure networks that remain energy-efficient and expandable through its built-in control and monitoring functions.</span>
  • Integration and optimization of grid through ANN-based solar MPPT and battery
    Kolli Sujran, Ankala Sirisha, Ganapaneni Swapna, Malligunta Kiran Kumar, Kambhampati Venkata Govardhan Rao
    International Journal of Applied Power Engineering, 2025
    Integration of solar energy into the grid is the most important aspect for achieving sustainable energy systems. This paper presents an artificial neural network-based maximum power point tracking (ANN-MPPT) system with battery storage to enhance grid efficiency. The proposed ANN-MPPT is dynamically adapted to the varying irradiance and temperature, hence ensuring optimal power extraction from the photovoltaic system. Excess energy is stored in batteries during high solar radiation and discharged when solar generation is low or grid demand is high, maintaining a stable power supply. This system enhances the grid performance in terms of supporting real-time energy exchange, load balancing, and grid stability. Efficient management of the energy fluctuations ensures reliability even at times of grid failures. Further, integration of ANN-based MPPT with battery storage reduces dependence on non-renewable sources and harmonizes solar energy utilization. It can be achieved through enabling smarter energy management and thus contributing to the resilience and efficiency of a grid for better integration of renewable energies. The proposed system can tolerate fluctuating grid demands apart from supporting the features of smart grid, hence viable for increasing stability and sustainability in the grid.
  • Rasa-Powered Conversational AI Framework for Intelligent Electric Vehicle Trip Planning and Energy Management
    Phanendra T, Swapna G, Vishnuvardhan M, K V Govardhan Rao, T Rakesh, et al.
    Indonesian Journal of Electrical Engineering and Informatics, 2025
  • Fuzzy-2 deployment in indirect vector control and hybrid space vector modulation for a two-level inverter fed induction motor drive
    Abhiram Tikkani, Raghavendra Reddy Karasani, Kambhampati Venkata Govardhan Rao, CH Naga Sai Kalyan, B. Srikanth Goud, et al.
    Scientific Reports, 2025
  • Intelligent MPPT and coordinated control for voltage stability in brushless DFIG wind turbines
    Prashanth Rajanala, Malligunta Kiran Kumar, Ambati Giriprasad, Joon-Ho Choi, K. V. Govardhan Rao, et al.
    Scientific Reports, 2025
  • Real-time vehicle detection and speed estimation system using Raspberry Pi and camera module
    B Jyothi, Bhavana Pabbuleti, Gadi Sanjeev, Kambhampati Venkata Govardhan Rao, S. Sai Srilakshmi, et al.
    Bulletin of Electrical Engineering and Informatics, 2025
  • Optimizing smart grids with blockchain-driven automation and demand response
    B. Jyothi, Bhavana Pabbuleti, Ravi Ponnala, Kambhampati Venkata Govardhan Rao, S. Sai Srilakshmi, et al.
    International Journal of Advances in Applied Sciences, 2025
  • Mitigation of Switching Losses and Electro Magnetic Interference with Buck Converter for Renewable Energy Applications
    International Journal of Renewable Energy Research, 2025
  • A versatile three-level CLLC resonant converter for off-board EV chargers with wide voltage adaptability contribution
    Chandra Babu Guttikonda, Pinni Srinivasa Varma, Malligunta Kiran Kumar, Kambhampati Venkata Govardhan Rao, Rakesh Teerdala, et al.
    International Journal of Power Electronics and Drive Systems, 2025
  • IOT-Enabled Fault Diagnosis and Monitoring for Small Wind Turbine
    Kambhampati Venkata Govardhan Rao, Tellapati Anuradha Devi, Kunduru Anusha, Ramchandra Nittala, Malligunta Kiran Kumar, et al.
    E3s Web of Conferences, 2025
  • Design and Implementation of RFID-Enabled Petrol Pump and EV Charging Automation
    Hari Prasad Bhupathi, Kambhampati Venkata Govardhan Rao, Gadi Sanjeev, CH. Naga Sai Kalyan, B. Srikanth Goud
    E3s Web of Conferences, 2025
  • An evaluation on industrial applications using leakage inductance and series capacitance converter
    Gundala Srinivasa Rao, Tellapati Anuradha Devi, Kambhampati Venkata Govardhan Rao, Thalanki Venkata Sai Kalyani, Malligunta Kiran Kumar, et al.
    Transactions on Energy Systems and Engineering Applications, 2025
  • Deep Learning for Insulator and Binding Fault Diagnosis in Smart Grids With YOLOv11 Instance Segmentation
    Santoshi Kanagala, Ramesh Palanisamy, K V Govardhan Rao
    2025 IEEE 6th International Conference in Robotics and Manufacturing Automation Roma 2025, 2025
  • Bibliometric Analysis of Communication Protocols in Vehicle-to-Grid Systems: Trends and Gaps in Smart Grid Integration
    Santoshi Kanagala, Md Mujahid Irfan, A V V Sudhakar, Kambhampati Venkata Govardhan Rao, B.Srikanth Goud
    Proceedings of the International Conference on Electrical Electronics and Computer Science with Advance Power Technologies A Future Trends Ice2cpt 2025, 2025
  • Direct Torque Controller of SRM for EV Application Based on Neural Network
    Anuradha Devi Tellapati, Malligunta Kiran Kumar, Natarajan Karuppaiah, S. Ravi Teja, Kambhampati Venkata Govardhan Rao
    Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering Lnicst, 2025
  • A Verified Synergistic Deep Learning Framework for Copyrighted Character Recognition Using CNN and Transformer Integration
    Jeevana Jyoth Pujari, Bikku Thulasi, Kunduru Anusha, Rakesh Teerdala, M Kiran Kumar, et al.
    2025 IEEE 4th World Conference on Applied Intelligence and Computing Aic 2025, 2025
  • Improving Retail Efficiency with a Smart Trolley Featuring RFID Billing and Bluetooth Integration
    Ch. Rami Reddy, K. V. Govardhan Rao, Sairamakrishna BuchiReddy Karri, B. Venkata Ramana Reddy, Daniel Manoj Nethala, et al.
    Proceedings International Conference on Electrical Control and Instrumentation Engineering Icecie, 2025

RECENT SCHOLAR PUBLICATIONS

  • Enhancing urban EV integration: a data-driven hybrid approach to charging station optimization and energy management
    SM Hussain, G Swapna, KVG Rao, MK Kumar, SR Teja
    Bulletin of Electrical Engineering and Informatics 15 (2), 929-943 , 2026
    2026
  • Smart charging of electric vehicles at a charging station using machine learning and pressure pad energy harvesting
    KS Tadi, G Swapna, KVG Rao, MK Kumar, SR Teja
    Bulletin of Electrical Engineering and Informatics 15 (2), 958-969 , 2026
    2026
  • An Enhanced Loss Model–Based Online Flux Optimization Technique for Vector-Controlled Induction Motor Drives Including Leakage Inductance
    BH Deepthi, PS Varma, MK Kumar, KVG Rao
    International Journal of Electrical and Electronics Research 14 (1), 110-122 , 2026
    2026
  • Optimized control approach for bidirectional wireless power transfer systems with vehicle-to-grid integration
    MH Venkatesh, MK Kumar, CB Guttikonda, TVS Kalyani, KVG Rao
    Bulletin of Electrical Engineering and Informatics 15 (1), 110-123 , 2026
    2026
  • Advanced artificial intelligence-based multi-sensor fusion for environmental perception in autonomous electric vehicles
    B Naveen, MK Kumar, TVS Kalyani, T Bikku, KVG Rao
    Bulletin of Electrical Engineering and Informatics 15 (1), 124-148 , 2026
    2026
    Citations: 1
  • Intelligent RBF neural network-based control for dynamic stability and power control in renewable-integrated microgrids
    V Chiluka, GGR Sekhar, CR Reddy, KVG Rao, MK Kumar, MA Ibrahim, ...
    Scientific Reports , 2026
    2026
    Citations: 1
  • Test Bench of Energy Storage System in UAVs to Maximize the Efficiency
    TA Devi, G Jagadish, J Rahul, KVG Rao
    2025 IEEE International Conference on Electrical, Electronics, Communication … , 2025
    2025
  • Hybrid Fennec Fox–Sand Cat optimized cascaded ANFIS MPPT for enhanced control of DFIG-based WECS with grid support
    P Rajanala, MK Kumar, KVG Rao, CR Reddy, DR Kumar, AG Prasad, ...
    Scientific Reports , 2025
    2025
    Citations: 1
  • Integration and optimization of grid through ANN-based solar MPPT and battery
    K Sujran, A Sirisha, G Swapna, MK Kumar, KVG Rao
    International Journal of Applied 14 (4), 988-998 , 2025
    2025
  • Real-time vehicle detection and speed estimation system using Raspberry Pi and camera module
    B Jyothi, B Pabbuleti, G Sanjeev, KVG Rao, SS Srilakshmi, A Jee, ...
    Bulletin of Electrical Engineering and Informatics 14 (6), 4962-4973 , 2025
    2025
  • Improving Retail Efficiency with a Smart Trolley Featuring RFID Billing and Bluetooth Integration
    CR Reddy, KVG Rao, SBR Karri, BVR Reddy, DM Nethala, TA Devi
    2025 7th International Conference on Electrical, Control and Instrumentation … , 2025
    2025
  • Bibliometric Analysis of Communication Protocols in Vehicle-to-Grid Systems: Trends and Gaps in Smart Grid Integration
    S Kanagala, MM Irfan, AVV Sudhakar, KVG Rao, BS Goud
    2025 International Conference on Electrical, Electronics, and Computer … , 2025
    2025
  • Mitigation of Switching Losses and Electro Magnetic Interference with Buck Converter for Renewable Energy Applications
    S Goud, MK Kumar, KVG Rao, TA Devi, CR Reddy, T Bikku, B Alamri, ...
    International Journal of Renewable Energy Research (IJRER) 15 (3), 548-560 , 2025
    2025
    Citations: 1
  • High-performance fault diagnosis of smart grid insulators using YOLOv11-based instance segmentation for real-time energy infrastructure monitoring
    S Kanagala, R Palanisamy, KV Govardhan Rao, MAM Alharthi, R Nittala, ...
    Energy Exploration & Exploitation, 01445987251370390 , 2025
    2025
    Citations: 1
  • Deep Learning for Insulator and Binding Fault Diagnosis in Smart Grids With YOLOv11 Instance Segmentation
    S Kanagala, R Palanisamy, KVG Rao
    2025 IEEE 6th International Conference in Robotics and Manufacturing … , 2025
    2025
    Citations: 2
  • Enhancing Retail Efficiency with a Smart Trolley: RFID-Based Billing and Bluetooth Integration
    KVG Rao, DM Nethala, TA Devi, S Kanagala, IV Kumar, BS Goud
    2025 IEEE 4th World Conference on Applied Intelligence and Computing (AIC … , 2025
    2025
  • A Verified Synergistic Deep Learning Framework for Copyrighted Character Recognition Using CNN and Transformer Integration
    JJ Pujari, B Thulasi, K Anusha, R Teerdala, MK Kumar, KVG Rao
    2025 IEEE 4th World Conference on Applied Intelligence and Computing (AIC … , 2025
    2025
  • Intelligent MPPT and coordinated control for voltage stability in brushless DFIG wind turbines
    P Rajanala, MK Kumar, A Giriprasad, JH Choi, KVG Rao, VS Sravan, ...
    Scientific Reports 15 (1), 22669 , 2025
    2025
    Citations: 6
  • Fractional Order Cascade Controller for the Optimal Load Frequency Control of Diverse Sourced Multi Area Power System
    CNS Kalyan, M Nagendra, GS Rao, KVG Rao, BN Reddy, BS Goud
    2025 International Conference on Recent Advances in Electrical, Electronics … , 2025
    2025
    Citations: 1
  • Fuzzy-2 deployment in indirect vector control and hybrid space vector modulation for a two-level inverter fed induction motor drive
    A Tikkani, RR Karasani, K Venkata Govardhan Rao, CHNS Kalyan, ...
    Scientific Reports 15 (1), 13379 , 2025
    2025
    Citations: 10

MOST CITED SCHOLAR PUBLICATIONS

  • A partial ratio and ratio based fuzzy-wuzzy procedure for characteristic mining of mathematical formulas from documents
    GA Rao, G Srinivas, KV Rao, PP Reddy
    IJSC—ICTACT J Soft Comput 8 (4), 1728-1732 , 2018
    2018
    Citations: 33
  • The harmonic reduction techniques in shunt active power filter when integrated with non-conventional energy sources
    KVG Rao
    Indonesian Journal of Electrical Engineering and Computer Science 25 (3 … , 2022
    2022
    Citations: 29
  • Design of a bidirectional DC/DC converter for a hybrid electric drive system with dual-battery storing energy
    K Venkata Govardhan Rao, MK Kumar, BS Goud, M Bajaj, ...
    Frontiers in Energy Research 10, 972089 , 2022
    2022
    Citations: 27
  • An independently controlled two output half bridge resonant LED driver
    KVG Rao, M Kiran Kumar, B Srikanth Goud
    Electric Power Components and Systems 52 (7), 1094-1114 , 2024
    2024
    Citations: 22
  • Switched quasi impedance-source DC-DC network for photovoltaic systems
    S Goud, BS Kumar, BSS Vindhya, DB Kumar, EL Kumar, OC Shekar, ...
    International Journal of Renewable Energy Research (IJRER) 13 (2), 681-698 , 2023
    2023
    Citations: 22
  • Transportation engineering I
    TV Mathew, K Rao
    Transportation Systems Engineering, Civil Engineering Department, India … , 2006
    2006
    Citations: 19
  • Characteristic mining of mathematical formulas from document-A comparative study on sequence matcher and levenshtein distance procedure
    GA Rao, G Srinivas, KV Rao, PP Reddy
    Int J Comput Sci Eng 6 (4), 400-403 , 2018
    2018
    Citations: 18
  • Iot-powered crop shield system for surveillance and auto transversum
    KVG Rao, MK Kumar, BS Goud, D Krishna, M Bajaj, P Saini, S Choudhury
    2023 IEEE 3rd International Conference on Sustainable Energy and Future … , 2023
    2023
    Citations: 15
  • A new brushless DC motor driving resonant pole inverter optimized for batteries
    KVG Rao
    International Journal of Power Electronics and Drive Systems(IJPEDS) 14 (4 … , 2023
    2023
    Citations: 13
  • Fuzzy-2 deployment in indirect vector control and hybrid space vector modulation for a two-level inverter fed induction motor drive
    A Tikkani, RR Karasani, K Venkata Govardhan Rao, CHNS Kalyan, ...
    Scientific Reports 15 (1), 13379 , 2025
    2025
    Citations: 10
  • A new-fangled connection of UPQC tailored power device from wind farm to weak-grid
    M Pushkarna, KV Govardhan Rao, BS Goud, MK Kumar, CR Reddy, ...
    Frontiers in Energy Research 12, 1355867 , 2024
    2024
    Citations: 9
  • Microgrid with, vehicle-to-grid and grid-to-vehicle technology for DC fast charging topology
    KVG Rao, KK Malligunta, BS Goud, AD Tellapati, CNS Kalyan, A Kumar, ...
    Renewable Energy for Plug-In Electric Vehicles, 45-57 , 2024
    2024
    Citations: 9
  • Design and Implementation of RFID-Enabled Petrol Pump and EV Charging Automation
    HP Bhupathi, KVG Rao, G Sanjeev, CHN Sai Kalyan, BS Goud
    E3S Web of Conferences 616, 03037 , 2025
    2025
    Citations: 8
  • A literature review on reduction of harmonics using active power filter
    KVG Rao, MK Kumar
    AIP Conference Proceedings 2512 (1), 020083 , 2024
    2024
    Citations: 7
  • Intelligent MPPT and coordinated control for voltage stability in brushless DFIG wind turbines
    P Rajanala, MK Kumar, A Giriprasad, JH Choi, KVG Rao, VS Sravan, ...
    Scientific Reports 15 (1), 22669 , 2025
    2025
    Citations: 6
  • Multiobjective optimal power flow solutions using nondominated sorting colliding bodies optimization
    H Pulluri, KVG Rao, C Sriram, B Srikanth Goud, PK Balachandran, S K
    Scientific Reports 14 (1), 26593 , 2024
    2024
    Citations: 6
  • GSM based Vehicle Security Theft Control System
    TA Devi, G Sanjeev, KVG Rao, TVS Kalyani, R Nittala, MK Kumar
    2024 3rd International Conference on Computational Modelling, Simulation and … , 2024
    2024
    Citations: 6
  • A hybrid energy storage system for rechargeable vehicles
    KVG Rao, MK Kumar, BS Goud, TVS Kalyani, T Bikku
    Congress on Control, Robotics, and Mechatronics, 175-190 , 2024
    2024
    Citations: 5
  • Emotion recognition in tweets using optimized ensemble classifiers
    D Kavitha, PP Reddy, KV Rao
    2022 7th International Conference on Communication and Electronics Systems … , 2022
    2022
    Citations: 4
  • WITHDRAWN: Comparative and experimental study in identifying the similarity between languages for plagiarism detection and efficient language translation
    MSRK Nag, G Srinivas, KV Rao, S Vakkalanka, S Nagendram
    Materials Today: Proceedings , 2021
    2021
    Citations: 4