K ARUL JEYARAJ

@psnacet.edu.in

ASSOCIATE PROFESSOR
PSNACET DINDIGUL

K ARUL JEYARAJ


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https://researchid.co/kajeyaraj

EDUCATION

Ph.D in Electrical Engg

RESEARCH, TEACHING, or OTHER INTERESTS

Electrical and Electronic Engineering, Energy Engineering and Power Technology
16

Scopus Publications

131

Scholar Citations

6

Scholar h-index

5

Scholar i10-index

Scopus Publications

  • AI-Driven Smart Farming for Automated Plant Health Monitoring and Nutrient Deficiency Detection
    J. Serin, G.Gifta Jerith, V. Ebenezer, K.Arul Jeyaraj, A. Jenefa, et al.
    Asean Journal of Scientific and Technological Reports, 2026
    Precision agriculture is transitioning to continuous, data-driven monitoring. Affordable sensors and edge intelligence enable near real-time crop oversight. Manual scouting is labor-intensive and inconsistent. Delayed detection of nutrient stress leads to increased yield loss and input waste. Legacy systems monitor soil or weather in isolation and depend on periodic human checks. Vision pipelines often use shallow models and are not connected to field actuators. Proposed work: We combine soil moisture, temperature, and humidity sensing with camera-based leaf analysis using a DenseNet 121 classifier. A microcontroller executes closed-loop irrigation and localized cooling, with a mobile app for telemetry and alerts. RGB leaf images were captured in field conditions and labeled by experts into healthy and deficiency classes. Images were resized to 224×224 and split into training, validation, and test sets by plot to avoid leakage. DenseNet 121 achieved 89.0% accuracy on a held-out test set and surpassed a MobileNet V2 baseline of 82.0% under identical training conditions. Prototype deployments reduced manual checks and improved response to moisture and heat stress. The integrated IoT and AI pipeline is practical for early detection of nutrient deficiencies and autonomous actuation in small plots and greenhouses.
  • Multi - Depot Electric Vehicle Scheduling Problem in Public Transportation
    16th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2025, 2025
  • Securing Vehicle-to-Everything (V2X) Communication in AI-Empowered Electric Vehicles
    Edward Naveen. V, Dhivya. S, M.Joe Marshell, K Arul Jeyaraj, Ebenezer. V, et al.
    2nd International Conference on Intelligent Cyber Physical Systems and Internet of Things Icoici 2024 Proceedings, 2024
    Data in AI-Empowered Electric Vehicles is protected by using blockchain technology for immutable and verifiable transactions, in addition to high-strength encryption methods and digital signatures. This research paper compares and evaluates the security mechanisms for V2X communication in AI-enabled EVs. The purpose of the study is to ensure the reliability of security measures by evaluating performance metrics including false positive rate, false negative rate, detection accuracy, processing time, communication latency, computational resources, key generation time, and throughput. A comprehensive experimental approach is implemented using a diverse dataset gathered from actual V2X communication condition. The evaluation reveals that the security mechanisms perform inconsistently. Message integrity verification obtains the highest detection accuracy with a low false positive rate of 2% and a 0% false negative rate. Traffic encryption has a low processing time, requiring only 10 milliseconds for encryption and decryption, and adds only 5 bytes of communication latency to V2X messages. The detection accuracy of intrusion detection systems is adequate at 95%, but they require more computational resources, consuming 80% of the CPU and 150 MB of memory. In particular attack scenarios, certificate-based authentication and secure key exchange show promise. Certificate-based authentication mitigates MitM attacks with a false positive rate of 3% and a false negative rate of 1%. Secure key exchange thwarts replication attacks with a false positive rate of 0 and a false negative rate of 2. Nevertheless, their efficacy varies based on the attack scenario, highlighting the need for adaptive security mechanisms. The evaluated security mechanisms exhibit varying rates of throughput. Message integrity verification and traffic encryption accomplish high throughput, enabling 1 Mbps and 800 Kbps, respectively, of secure data transfer rates. Overall, the results contribute to the comprehension of V2X communication security challenges in AI-enabled EVs. Message integrity verification and traffic encryption have emerged as effective mechanisms that provide robust security with high performance. The study provides insight for designing secure and dependable V2X communication systems. Future research should concentrate on enhancing V2X communication's security mechanisms and exploring novel approaches to resolve emerging threats.
  • The Significance of Data Integration and Ingestion in Enhancing Agricultural Operations: A Comprehensive Exploration
    V. Ebenezer, M. Robinson Joel, M. Vargheese, N. Karthik, K. Arul Jeyaraj, et al.
    Artificial Intelligence for Precision Agriculture, 2024
  • Techno-Economic Analysis of RES based Islanded Microgrid for Different Locations at Tamilnadu
    Nishanthy J, Charles Raja S, John D. Femila Josephin, Arul Jeyaraj K
    5th International Conference on Power Control and Embedded Systems Icpces 2023, 2023
    Recently, a main challenging issues for rural electrification and remote areas are having limited power consumption or without grid connection access. Especially, the global concerns towards weather changes, clean and sustainable energy system, reducing fuel costs, reliable renewable sources and environmental impact to assure the feasible energy demand. To accomplish this problem, this study examines a hybrid renewable energy source (RES) such as solar panel system, wind system, Battery System (BS), Diesel Generators system (DG) for a selected three off-grid locations such as Aralvaimozhi, Kamuthi, and Cuddalore in Tamil Nadu, India with different climate weather conditions. Additionally, fuel-based generator energy sources are designed, investigated and compared with hybrid RES to estimate the feasible solution in technical and economic indicators with the help of hybrid renewable source optimization model (HOMER) tool. Meanwhile, an optimal solution to find the sensitivity performance is covered with a help of specific parameters such as solar insolation level, wind speed, generator belongs to load follow strategy (LF), cycle charge (CC) and combined charge (CD) for the proposed system. Therefore, the obtained optimal behaviour for the hybrid solar-wind speed with battery, DG source is compared over the selected locations to find the energy efficient and cost configuration. Consequently, the designed system gives lowest level of cost of net present cost, energy cost and air pollution reduction in carbon as well as fuel utilization. Finally, the consequence of this present study project that renewable energy potential for each location for the proposed hybrid system should be viable and feasible.
  • Prediction of State of Charge (SOC) of Electric Vehicle (EV) Batteries using Machine Learning Technique
    Selva Vengatesh M, Nishanthy J, Charles Raja S, Arul Jeyaraj K
    2023 International Conference on Energy Materials and Communication Engineering Icemce 2023, 2023
    Accurate prediction of the state of charge (SOC) of electric vehicle (EV) batteries is essential for improving the operational efficiency, reliability and lifetime. The SOC of EV batteries is predicted comprehensively in this work utilizing machine learning (ML) techniques and a prototype. Using an on-board diagnostics system (OBD) during real-time drives, information on battery characteristics and SOC was gathered. The best models for predicting SOC were determined to be random forest regression and recurrent neural networks. A Grafana dashboard was created to show battery SOC estimates in real-time after a prototype was produced, tested, and confirmed. This methodology can help EV users to optimize their driving range and reduce battery damage due to over-discharge.
  • COPD Assessment Through Multimodal Analysis: Exploiting the Synergy of CNNs and LSTM Networks
    Jenefa A, Edward Naveen V, Ebenezer V, K. Rajkumar, M. Vargheese, et al.
    International Conference on Self Sustainable Artificial Intelligence Systems Icssas 2023 Proceedings, 2023
    Chronic Obstructive Pulmonary Disease (COPD) is a prevalent respiratory condition that requires accurate assessment for effective management. The paper proposes a novel approach that leverages the combined power of CNNs and LSTM networks for COPD assessment through multimodal analysis. The objective of the study is to enhance the accuracy and reliability of COPD diagnosis by exploiting the synergy between CNNs and LSTM networks using a comprehensive dataset comprising lung function measurements, clinical history, and imaging data. Existing systems for COPD assessment often rely on single-modal analysis, limiting the effectiveness of the diagnosis. In contrast, our proposed approach integrates multiple modalities, including lung function measurements, clinical history, and imaging data, to capture a more comprehensive representation of the disease. Experimental evaluation on the dataset showcases the superior performance of our model, achieving an accuracy above 95 % and outperforming existing systems in terms of precision, recall, and Fl-score. The fusion of CNNs and LSTM networks enables the model to extract relevant features and capture temporal dependencies, enhancing the overall COPD assessment performance. These findings highlight the potential of multimodal analysis and the synergy between CNNs and LSTM networks for accurate and reliable early detection and diagnosis of COPD. The research contributes to improving the management and treatment outcomes of the debilitating respiratory condition.
  • Decoding and Analysing Consumer Feedback for Companies and Goods using Machine Learning
    M. Robinson Joel, V. Ebenezer, K. Arul Jeyaraj, M. Navaneethakrishnan, R. Arunadevi, et al.
    Proceedings of the 3rd International Conference on Artificial Intelligence and Smart Energy Icais 2023, 2023
    Over the past ten years, the number of internet users has increased tremendously. Due to the e- commerce industry's fast growth, practically all goods are now sold online. Before making a purchasing choice, the customer gets comprehensive information on the items they are interested in. Customer opinions and reviews assist businesses and other consumers in making wise decisions and enhancing the purchasing experience. It is getting harder to comprehend and keep track of every customer's wants since the number of individuals leaving evaluations is increasing quickly. Some evaluations, which make it more time-consuming and challenging to analyse for business, are purposefully overly lengthy, unclear, incomplete, and short. A customer Feedback Evaluation System is needed to address this issue since it will track every one of those evaluations and offer statistical data for improving the manufacturer's quality and functionality. The suggested approach uses machine learning to give each word a certain amount of weight.
  • Design of Cost Effective PV/Battery System for Household Application: Case Study at Remote Areas in Madurai, Tamil Nadu
    J. Nishanthy, S. Charles Raja, K. Arul Jeyaraj
    Journal of the Institution of Engineers India Series B, 2022
  • A Novel Approach for Effective Crop Production using Machine Learning
    Vamsi Tej Chowdary, M. Robinson Joel, V. Ebenezer, Bijolin Edwin, Roshni Thanka, et al.
    Proceedings of the International Conference on Electronics and Renewable Systems Icears 2022, 2022
    Agriculture has a big and crucial role in the growth of the country. As a result of climate change, the agricultural scientific system is coping with a host of difficulties. Machine learning (ML) is the most efficient approach to solving issues by generating good and efficient solutions. Crop yield prediction comprises calculating a crop's production based on historical data and a number of variables such as weather, soil, water, and temperature. The application of the Linear Regression approach to estimate agricultural productivity based on previous year's data is examined and defined in this project. The project's purpose is to discover a solution to the problem of cost loss. The models are created using real-world agricultural data and then evaluated on samples. The crop yield prediction model will help end-users (farmers) anticipate crop production before planting crops on agricultural land. To predict accurate results, the Linear Regression Machine algorithm is applied. The availability of a large dataset will enhance the decision-making model's improvement.
  • Resonant converter for data center and super computer applications
    N. Soundiraraj*, K.Palanivel Rajan, I.Syed Mohamed, K. Kaleeswaran, Dr.K.Arul jeyaraj, et al.
    International Journal of Recent Technology and Engineering, 2019
  • Optimal placement of phasor measurement units using clustered gravitational search algorithm
    K. Banumalar, B.V. Manikandan, K. Arul Jeyaraj, K. Chandrasekaran
    Journal of Intelligent and Fuzzy Systems, 2018
  • A multi-objective placement of phasor measurement units using fuzzified artificial bee colony algorithm, considering system observability and voltage stability
    K. Arul jeyaraj, V. Rajasekaran, S.K. Nandha Kumar, K. Chandrasekaran
    Journal of Experimental and Theoretical Artificial Intelligence, 2016
  • A multi-objective placement of phasor measurement units considering observability and measurement redundancy using firefly algorithm
    K. Arul jeyaraj, V. Rajasekaran, S.K. Nandha kumar, K. Chandrasekaran
    Journal of Electrical Engineering and Technology, 2015
  • A multi-objective PMU placement method considering observability and measurement redundancy using ABC algorithm
    A. KULANTHAISAMY, R. VAIRAMANI, N. K. KARUNAMURTHI, C. KOODALSAMY
    Advances in Electrical and Computer Engineering, 2014
  • A new method to incorporate facts devices in optimal power flow using particle swarm optimization
    Journal of Theoretical and Applied Information Technology, 2009

RECENT SCHOLAR PUBLICATIONS

  • AI-Driven Smart Farming for Automated Plant Health Monitoring and Nutrient Deficiency Detection
    J Serin, GG Jerith, V Ebenezer, KA Jeyaraj, A Jenefa, M Vargheese
    ASEAN Journal of Scientific and Technological Reports 29 (1), e258175-e258175 , 2026
    2026
  • Predictive Analytics Assist Educational Institutions in Finding the Best Candidates for Teaching Positions
    MR Joel, V Ebenezer, KM Sagayam, EB Edwin, MR Thanka, KA Jeyaraj
    Data-Informed Leadership in Higher Education: An Executive Playbook for … , 2025
    2025
  • The Significance of Data Integration and Ingestion in Enhancing Agricultural Operations:: A Comprehensive Exploration
    V Ebenezer, MR Joel, M Vargheese, N Karthik, KA Jeyaraj, ...
    Artificial Intelligence for Precision Agriculture, 183-202 , 2024
    2024
  • Securing vehicle-to-everything (v2x) communication in ai-empowered electric vehicles
    MJ Marshell, KA Jeyaraj
    2024 Second International Conference on Intelligent Cyber Physical Systems … , 2024
    2024
    Citations: 5
  • Copd assessment through multimodal analysis: Exploiting the synergy of cnns and lstm networks
    A Jenefa, V Ebenezer
    2023 International Conference on Self Sustainable Artificial Intelligence … , 2023
    2023
    Citations: 3
  • Decoding and Analysing Consumer Feedback for Companies and Goods using Machine Learning
    MR Joel, V Ebenezer, KA Jeyaraj, M Navaneethakrishnan, R Arunadevi, ...
    2023 Third International Conference on Artificial Intelligence and Smart … , 2023
    2023
    Citations: 29
  • Techno-Economic Analysis of RES based Islanded Microgrid for Different Locations at Tamilnadu
    AJK Nishanthy J, Charles Raja S, John D. Femila Josephin
    International Conference on Power, Control & Embedded Systems (ICPCES) , 2023
    2023
    Citations: 3
  • A Novel Approach for Effective Crop Production using Machine Learning
    VT Chowdary, R Joel M., E V., B Edwin, R Thanka, A Jeyaraj
    Proceedings of the International Conference on Electronics and Renewable … , 2022
    2022
    Citations: 25
  • Design of Cost Effective PV/Battery System for Household Application: Case Study at Remote Areas in Madurai, Tamil Nadu
    JNSCRKA Jeyaraj2
    J. Inst. Eng. India Ser. B , 2022
    2022
    Citations: 8
  • Resonant dc-dc converter for Datacenter and super computer applications [articol]
    N Soundiraraj, I Palanivelrajan, M Sayed, K Aruljeyaraj
    2021
  • Exploiting Code Generation and Belief Propagation to Infer Identity of Polluters in Cloud Environment
    MR Joel, V Ebenezer, KA Jeyaraj, K Rajkumar, M Varghese, EB Edwin
    Annals of the Romanian Society for Cell Biology 25 (4), 10021-10027 , 2021
    2021
    Citations: 1
  • Exploiting Code Generation and Belief Propagation to Infer Identity of Polluters in Cloud Environmen
    EBE M. Robinson Joel1 ,V.Ebenezer2 , K.Arul Jeyaraj3 , K.Rajkumar3 ,M.Varghese4
    Annals of R.S.C.B 25 (Issue 4,), 10021 - 27 , 2021
    2021
  • Smart Aquaponics: Challenges and Opportunities
    MRT 1K. Ben Varkey, 1V.Ebenezer, 1E.Bijolin Edwin, 2K.Arul Jeyaraj, 3M.Varghese
    Annals of R.S.C.B 25 (Issue 4,), Pages. 9715 - 97 , 2021
    2021
    Citations: 2
  • Resonant converter for Data Center and Super Computer applications
    N Soundiraraj, KP Rajan, IS Mohammed, K Kaleeswarn, K Aruljeyaraj
    International Journal of Recent Technology and Engineering , 2019
    2019
  • Optimal placement of phasor measurement units using clustered gravitational search algorithm
    K Banumalar, BV Manikandan, K Arul Jeyaraj, K Chandrasekaran
    Journal of Intelligent & Fuzzy Systems 34 (6), 4315-4330 , 2018
    2018
    Citations: 4
  • A multi-objective placement of phasor measurement units using fuzzified artificial bee colony algorithm, considering system observability and voltage stability
    K Arul Jeyaraj, V Rajasekaran, SK Nandha Kumar, K Chandrasekaran
    Journal of Experimental & Theoretical Artificial Intelligence 28 (1-2), 113-136 , 2016
    2016
    Citations: 20
  • A multi-objective placement of phasor measurement units considering observability and measurement redundancy using firefly algorithm
    V Rajasekaran, K Chandrasekaran
    Journal of Electrical Engineering & Technology 10 (2), 474-486 , 2015
    2015
    Citations: 13
  • A multi-objective PMU placement method considering observability and measurement redundancy using ABC algorithm
    A Kulanthaisamy, R Vairamani, NK Karunamurthi, C Koodalsamy
    Advances in Electrical and Computer Engineering 14 (2), 117-129 , 2014
    2014
    Citations: 16
  • A Novel Design of LLC Resonant Converter for Wide Output Voltage Range
    K Thulasi, L Sahaya, K Arul, V Rajasekaran
    International Journal of Engineering ans Innovative and Technology 2 (10) , 2013
    2013
    Citations: 2
  • A new method to incorporate FACTS Devices in Optimal Power Flow Using Partical Swarm Optimization
    K Chandrasekharan, KA Jeyaraj, L Sahayasenthamil, DM Saravan
    Journal of Theoritical and Applied Information Technology 2009 , 2005
    2005

MOST CITED SCHOLAR PUBLICATIONS

  • Decoding and Analysing Consumer Feedback for Companies and Goods using Machine Learning
    MR Joel, V Ebenezer, KA Jeyaraj, M Navaneethakrishnan, R Arunadevi, ...
    2023 Third International Conference on Artificial Intelligence and Smart … , 2023
    2023
    Citations: 29
  • A Novel Approach for Effective Crop Production using Machine Learning
    VT Chowdary, R Joel M., E V., B Edwin, R Thanka, A Jeyaraj
    Proceedings of the International Conference on Electronics and Renewable … , 2022
    2022
    Citations: 25
  • A multi-objective placement of phasor measurement units using fuzzified artificial bee colony algorithm, considering system observability and voltage stability
    K Arul Jeyaraj, V Rajasekaran, SK Nandha Kumar, K Chandrasekaran
    Journal of Experimental & Theoretical Artificial Intelligence 28 (1-2), 113-136 , 2016
    2016
    Citations: 20
  • A multi-objective PMU placement method considering observability and measurement redundancy using ABC algorithm
    A Kulanthaisamy, R Vairamani, NK Karunamurthi, C Koodalsamy
    Advances in Electrical and Computer Engineering 14 (2), 117-129 , 2014
    2014
    Citations: 16
  • A multi-objective placement of phasor measurement units considering observability and measurement redundancy using firefly algorithm
    V Rajasekaran, K Chandrasekaran
    Journal of Electrical Engineering & Technology 10 (2), 474-486 , 2015
    2015
    Citations: 13
  • Design of Cost Effective PV/Battery System for Household Application: Case Study at Remote Areas in Madurai, Tamil Nadu
    JNSCRKA Jeyaraj2
    J. Inst. Eng. India Ser. B , 2022
    2022
    Citations: 8
  • Securing vehicle-to-everything (v2x) communication in ai-empowered electric vehicles
    MJ Marshell, KA Jeyaraj
    2024 Second International Conference on Intelligent Cyber Physical Systems … , 2024
    2024
    Citations: 5
  • Optimal placement of phasor measurement units using clustered gravitational search algorithm
    K Banumalar, BV Manikandan, K Arul Jeyaraj, K Chandrasekaran
    Journal of Intelligent & Fuzzy Systems 34 (6), 4315-4330 , 2018
    2018
    Citations: 4
  • Copd assessment through multimodal analysis: Exploiting the synergy of cnns and lstm networks
    A Jenefa, V Ebenezer
    2023 International Conference on Self Sustainable Artificial Intelligence … , 2023
    2023
    Citations: 3
  • Techno-Economic Analysis of RES based Islanded Microgrid for Different Locations at Tamilnadu
    AJK Nishanthy J, Charles Raja S, John D. Femila Josephin
    International Conference on Power, Control & Embedded Systems (ICPCES) , 2023
    2023
    Citations: 3
  • Smart Aquaponics: Challenges and Opportunities
    MRT 1K. Ben Varkey, 1V.Ebenezer, 1E.Bijolin Edwin, 2K.Arul Jeyaraj, 3M.Varghese
    Annals of R.S.C.B 25 (Issue 4,), Pages. 9715 - 97 , 2021
    2021
    Citations: 2
  • A Novel Design of LLC Resonant Converter for Wide Output Voltage Range
    K Thulasi, L Sahaya, K Arul, V Rajasekaran
    International Journal of Engineering ans Innovative and Technology 2 (10) , 2013
    2013
    Citations: 2
  • Exploiting Code Generation and Belief Propagation to Infer Identity of Polluters in Cloud Environment
    MR Joel, V Ebenezer, KA Jeyaraj, K Rajkumar, M Varghese, EB Edwin
    Annals of the Romanian Society for Cell Biology 25 (4), 10021-10027 , 2021
    2021
    Citations: 1
  • AI-Driven Smart Farming for Automated Plant Health Monitoring and Nutrient Deficiency Detection
    J Serin, GG Jerith, V Ebenezer, KA Jeyaraj, A Jenefa, M Vargheese
    ASEAN Journal of Scientific and Technological Reports 29 (1), e258175-e258175 , 2026
    2026
  • Predictive Analytics Assist Educational Institutions in Finding the Best Candidates for Teaching Positions
    MR Joel, V Ebenezer, KM Sagayam, EB Edwin, MR Thanka, KA Jeyaraj
    Data-Informed Leadership in Higher Education: An Executive Playbook for … , 2025
    2025
  • The Significance of Data Integration and Ingestion in Enhancing Agricultural Operations:: A Comprehensive Exploration
    V Ebenezer, MR Joel, M Vargheese, N Karthik, KA Jeyaraj, ...
    Artificial Intelligence for Precision Agriculture, 183-202 , 2024
    2024
  • Resonant dc-dc converter for Datacenter and super computer applications [articol]
    N Soundiraraj, I Palanivelrajan, M Sayed, K Aruljeyaraj
    2021
  • Exploiting Code Generation and Belief Propagation to Infer Identity of Polluters in Cloud Environmen
    EBE M. Robinson Joel1 ,V.Ebenezer2 , K.Arul Jeyaraj3 , K.Rajkumar3 ,M.Varghese4
    Annals of R.S.C.B 25 (Issue 4,), 10021 - 27 , 2021
    2021
  • Resonant converter for Data Center and Super Computer applications
    N Soundiraraj, KP Rajan, IS Mohammed, K Kaleeswarn, K Aruljeyaraj
    International Journal of Recent Technology and Engineering , 2019
    2019
  • A new method to incorporate FACTS Devices in Optimal Power Flow Using Partical Swarm Optimization
    K Chandrasekharan, KA Jeyaraj, L Sahayasenthamil, DM Saravan
    Journal of Theoritical and Applied Information Technology 2009 , 2005
    2005

Publications

1) J. Nishanthy · S. Charles Raja · K. Arul Jeyaraj, Design of Cost Effective PV/Battery System for Household Application: Case Study at Remote Areas in Madurai, Tamil Nadu, J. Inst. Eng. India Ser. B, march, vol. 103, issue 2, 2022.
2) A Novel Approach for Effective Crop Production using Machine Learning, Proceedings of the International Conference on Electronics and Renewable Systems, ICEARS, 1143-47, march 2022.
3) K. Ben Varkey, V. Ebenezer, E. Bijolin Edwin, K. Arul Jeyaraj, M. Varghese, M. Roshni Thanka. (2021). Smart Aquaponics: Challenges and Opportunities. Annals of the Romanian Society for Cell Biology, vol 25, no 4, 2021.
4) M>Robinson Joel, V. Ebenezer, K. Arul Jeyaraj, K. Rajkumar, M. Varghese, E. Bijolin Edwin. (2021). Exploiting Code Generation and Belief Propagation to Infer Identity of Polluters in Cloud Environment. Annals of the Romanian Society for Cell Biology, vol 25, no 4, 2021.
5) F.X.Edwin Deepak , L SahayaSenthamil ,.K.Arul Jeyara , Nivetha Martin,” Optimization of Inventory Model for Electrical Power Consumption of Two Transmission Stations with Different Demand Patterns and New Costs Parameters,” Solid State Technology, Volume: 63 Issue: Publication Year: 2020, pp. 2701- 2705.
6) N.Soundiraraj, K.Palanivel Rajan, I.Sayed Mohammed, K.Kaleeswarn , K.Aruljeyaraj Resonant converter for Data Center and Super Computer applications International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-8 Issue-3, September 2019.
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