Research Publications
a. Research papers published in Journals
WEBSITE LINK: https://scholar.google.co.in/Gaddam Mallesham
1. Ch. Sreenu, G. Mallesham, T. Chandra Shekar, Surender Reddy Salkuti, High Gain Quasi Z-Source Converters with Artificial Bee Colony Control for Grid-Integrated Solar-Wind Energy Sources,
Green Energy and Intelligent Transportation,2025,100264, ISSN 2773-1537.
2. Shankar. J, Mallesham. G, Surrender Reddy. S, Optimal Tuning of PI Controller for Automatic Generation Control in Multi-Area Power Systems Using PSO for Enhanced Load Frequency Control, Journal Electrical Systems 20-3(2024), pp.6983-6998, ISSN 1112-5209, indexed by Scopus and ISI Thomson Reuters.
3. Shankar. J, Mallesham. G, Surrender Reddy. S, “Design of PI Tunning Controller using Genetic Algorithm for Load Frequency Control in Automatic Generations Control of Multi-Area Power System”, International Research Journal of Engineering and Technology (IRJET) Vol 12, Issue 5 May-2025 e-ISSN 2395- 0056 volume12-issue05 indexed by Google Scholar and ISO 9001-2008 Certified Journal.
4. Banothu. Balasubramanyam, Balasubbareddy Mallala, G. Mallesham. A fuzzy integrated non-linear backstepping control of a grid connected PMSG wind farm. Journal Electrical Systems 20-3(2024), pp. 1983-1991, ISSN 1112-5209, indexed by Scopus and ISI Thomson Reuters.
5. Banothu. Balasubramanyam, Balasubbareddy Mallala, G. Mallesham, Performance Enhancement of PMSG Wind Farm with Adaptive Fuzzy-Based PID Regulator in Non-Linear Backstepping Controller, SSRG International Journal of Electrical and Electronics Engineering Volume 11 Issue 11, 139-149, November 2024 ISSN: 2348-8379.
6. Babaiah Suguri. Mallesham. G (2024). Short-Term Load Forecasting Using Conventional and AI Techniques. International Journal of Intelligent Systems and Applications in Engineering, 12(4), 5482–5492.
7. Babaiah Suguri, Mallesham. G, Comparative Analysis of Deep and Convolutional Neural Networks for Short-Term Load Forecasting, Journal Electrical Systems 20-3(2024), pp.6983-6998, ISSN 8612-8627, indexed by Scopus and ISI Thomson Reuters
8. G. Muralikrishna, G. Mallesham, Abhishek Jain, Praveen Tiwari, An Experimental Study of Odometer as a Navigation-aid for Land Vehicle Application, Defence Science Journal, Vol. 74, No. 5, September 2024, pp. 743-754, DOI: 10.14429/dsj.74.19689.
9. Gurram Muralikrishna, G. Mallesham, M. Kannan, Performance Investigation of SINS/Odometer/NHC using Sequential Integrated Measurements, International Journal of INTELLIGENT SYSTEMS AND APPLICATIONS IN ENGINEERING, IJISAE, 2024, 12(4), 3774–3790.
10. Ch. Sreenu, G. Mallesham, T. Chandra Shekar, Surender Reddy Salkuti, pairing voltage-source converters with PI tuning controller based on PSO for grid-connected wind-solar cogeneration, Franklin Open, Volume 8, 2024, 100138, ISSN 2773-1863, https://doi.org/10.1016/j.fraope.2024.100138.
11. Bomma Shwetha, G. Suresh Babu, G. Mallesham, Intelligent Solar PV Grid Connected and Standalone UPQC for EV Charging Station Load, Results in Control and Optimization, Volume 15, 2024, 100420, ISSN 2666-7207,
12. Bodapatla Sampath Kumar, Pannala Mallikarjuna Sarma, G. Mallesham. Robust H-infinity and μ-synthesis controllers to mitigate sub-synchronous control interaction in DFIG wind farms considering time delay. Electr Eng 106, 6019–6034 (2024). https://doi.org/10.1007/s00202-024-02353-4
13. B Chandra Rahee, J Namratha Manohar, Mallesham, G. A Hybrid Energy System Based Ev Charging Station with Advanced Controller for Grid Power Quality Regulation Journal of Electrical Systems; Paris Vol. 20, Iss. 4s, (2024): 2397-2407.
14. Balasubramanyam Banothu, Mallala, Balasubbareddy, Mallesham G. A fuzzy integrated non-linear backstepping control of a grid connected PMSG wind farm. Journal of Electrical Systems; Paris Vol. 20, Iss. 3, (2024): 1983-1991.
15. Kuchkulla, Navya, Mallesham Gaddam, and V. Narasimhulu. "Concert Exploration of DFIG Grid-integrated MMC using Artificial Intelligence." Engineering, Technology & Applied Science Research 13.4 (2023): 11466-11471.
16. Bodapatla Sampath Kumar, Pannala Mallikarjuna Sarma, G. Mallesham. “A Robust UDE-Based 2DOF Controller for Mitigating Sub-Synchronous Control Interaction in Wind Power Plants” Electric Power Components and Systems, Tailer & Francis, 2023.
17. M Serabanda, B Suresh Kumar, G Mallesham. “Performance improvement of UQC with sliding mode fractional order proportional integral control with enhancement of harmonics mitigation” Journal of Bulletin of Electrical Engineering and Informatics (BEEI), ISSN: 2089-3191, e-ISSN: 2302-9285, 2023.
18. K Navya, G Mallesham, V Narsimhulu. “Concert Exploration of DFIG Grid-integrated MMC using Artificial Intelligence” Engineering, Technology & Applied Science Research (ETASR), Volume.13, 2023.
19. N Deepa, K Krishnaveni, G. Mallesham “A Review of Novel Techniques for Switched Reluctance Machine to Reduce Torque Ripple” International Journal of Management Information Technology and Engineering (BEST: IJMITE), Pages 27-42, 2023.
20. N Deepa, K Krishnaveni, G Mallesham. “Multi-objective Optimisation techniques for the reduction of Torque Ripples in Switched Reluctance motor Using TSF-DITC” journal of Semiconductor Optoelectronics, 2023.
21. Siva Kumar, C., Mallesham, G. “Implementation of a New Hybrid Boost Converter for High Gain Enhancement of SOFC System”. In: Pandit, M., Gaur, M.K., Rana, P.S., Tiwari, A. (eds) Artificial Intelligence and Sustainable Computing. Algorithms for Intelligent Systems. Springer, 2022, Singapore. https://doi.org/10.1007/978-981-19-1653-3_49
22. Siva Kumar, C. H., and G. Mallesham. "A New Hybrid Boost Converter with Cuckoo Search MPPT for High Gain Enhancement of PEMFC." In Communication and Intelligent Systems: Proceedings of ICCIS 2021, pp. 295-308. Singapore: Springer Nature Singapore, 2022.
23. M. V. R. Rao and G. Mallesham, “An Expert System for Design of Output Parameters for BLDC Motor”, IJMDES, vol. 1, no. 2, pp. 18–23, Feb. 2022.
24. CH. Siva Kumar, G. Mallesham, “A new hybrid boost converter with P & O MPPT for high gain enhancement of solar PV system”, Materials Today: Proceedings, Volume 57, Part 5, 2022, Pages 2262-2269, ISSN 2214-7853, 2022.
25. Naresh Kumari and G. Mallesham “An Efficient Technique-Based Distributed Energy Management for Hybrid MG System: A Hybrid RFCFA Technique”, Journal of Control, Journal of Control, Automation and Electrical Systems, ISSN 2195-3880 Systems, DOI 10.1007 /s40313 -019 -00554-y, 2020.
26. G. Mallesham and CH. Siva Kumar, “Power Quality Improvement of Weak Hybrid PEMFC and SCIG Grid Using UPQC”, ICETE-2019, Scopus Journal, UCEOU, 2019.
27. G. Mallesham and CH. Siva Kumar, “A Comprehensive Review on Control Strategies of Series and Shunt Active Filter Based Custom Power Device: UPQC to Improve Power Quality”, IJRECE-2018, vol.6(2), pp.1744 - 1750, June, 2018
28. G. Mallesham and CH. Siva Kumar, “Enhancement of Power Quality using UPQC for An Environ- mentally Clean and Efficient Hybrid PEMFC and PMSG Based Wind Energy System Connected to Weak Grid”, IJRECE-2018, vol.6(2), pp.1754 - 1760, June, 2018.
29. G. Mallesham and CH. Siva Kumar, “Enhancement of power quality using UPQC for a hybrid SOFC and PMSG based wind energy system connected to weak grid, International Journal of Helix. Vol 8(3): pp. 3313-3320, Jan.,2018.
30. G. Mallesham and D. Krishna, “Optimal Frequency Control of a Microgrid,” International Journal of Helix Vol. 8(2), pp.3079-3086, Feb, 2018.
31. G. Mallesham, B. Priyadarshini, G. Balaji and D. Krishna, “Tuning of Microgrid Controllers using Cuckoo Search Algorithm,” International Journal of Helix Vol. 8(3): pp.3330-3335, April, 2018.
32. Naresh Kumari and Nitin Malik and A. N. Jha and G. Mallesham “Design of PI Controller for Automatic Generation Control of Multi Area Interconnected Power System using Bacterial For- aging Optimization”, journal=ArXiv, volume=abs/1701.08081, ISSN: 0975-4024, pp.2779-2786 Dec 2016-Jan 2017.
33. S. Mishra, G. Mallesham and P. C. Sekhar, Biogeography Based Optimal State Feedback Controller for Frequency Regulation of a Smart Microgrid, IEEE Trans. on Smart Grid, vol.4, no.1, pp. 628-637, March 2013.
34. S. Mishra, G. Mallesham and A.N. Jha, “Design of Controller and Communication for frequency regulation of a Smart Microgrid, IET Renew. Power Gener., vol. 6, no. 4, pp. 248258, July 2012.
35. G. Mallesham, S. Mishra, A. N. Jha, “Automatic Generation Control of Microgrid using Artificial Intelligence techniques, Proc. of 2012 IEEE Power & Energy Society General Meeting, San Diego, USA, July 2012.
36. G. Mallesham, K.B. Venkata Ramana, “Improvement in Dynamic Response of Electrical Machines with PID & Fuzzy Logic Based Controllers, World Congress on Engineering and Computer Science 2007, WCECS 2007, San Francisco, USA, 24th - 26th October 2007.
37. G. Mallesham, A.N. Jha, “A fine short-term load forecasting using neural networks and fuzzy neural networks, WSEAS-Transactions on Information science and Applications, Issue 10, Volume 2, p 1589- 1594, Corfu Island, Greece, 2005.
38. G. Mallesham, A.N. Jha, “Artificial Intelligence techniques and application in electrical power systems, Proceedings of the 5th Int. Conf. on Power Systems and Electromagnetic Compatibility, p 224-229, Corfu, Greece, 2005.
39. Gaddam Mallesham, AN Jha “A Fine Load Forecasting Using Neural Networks and Fuzzy Neural Networks” WSEAS Transactions on Information Science and applications Volume 2 issue 10 pages 1589-1594, 2005.
b. Research papers published in Conferences
1. Siva Kumar, C.H., Mallesham, G. (2025). Optimal Design of UPQC: An Artificial Electric Field Algorithm-Based Variable Phase Angle Control Method. In: Dwivedi, G., Verma, P., Shende, V. (eds) Advances in Clean Energy Technologies. ICET 2023. Springer Proceedings in Energy. Springer, Singapore.
2. Siva Kumar, C.H., Mallesham, G. (2025). GCDSC-PLL and Enhanced Instantaneous Power Theory Based UPQC for Power Quality Improvement. In: Dwivedi, G., Verma, P., Shende, V. (eds) Advances in Clean Energy Technologies. ICET 2023. Springer Proceedings in Energy. Springer, Singapore.
3. J. Shankar G. Mallesham “Automatic generation control of multi area power systems using BELBIC” 4th Electric Power and Renewable Energy Conference (EPREC-2023) Springer 2023.
4. Ch. Sreenu G. Mallesham T. Chandra Shekar Control of Quasi Z- Source Converter in a Microgrid using modified power Ratio P&O MPPT 2nd INTERNATIONAL CONFERENCE ON EMERGING TRENDS IN ENGINEERING (ICETE 2023) Springer 2023.
5. S. K. Bodapatla, G. Mallesham and P. M. Sarma, "The Effects of FOPID Controller Parameters on Subsynchronous Control Interaction Type of Stability Issue in DFIG Wind Power Systems," 2023 International Conference on Power Energy, Environment & Intelligent Control (PEEIC), Greater Noida, India, 2023, pp. 253-260, doi: 10.1109/PEEIC59336.2023.10450889.
6. C. S. Kumar and G. Mallesham, "A New Dual-Adaptive Inertia Strategy Controller Based UPQC to Improve the Power Quality of Hybrid Renewable Energy System Connected to Grid," 2023 9th IEEE India International Conference on Power Electronics (IICPE), SONIPAT, India, 2023, pp. 1-6, doi: 10.1109/IICPE60303.2023.10474827.
7. S Mamatha, G Mallesham Hybrid AC/DC Microgrid Control and Management of Power Using Bidirectional AC/DC Converter by Autonomous Control Mode Recent Developments in Electrical and Electronics Engineering: Select Proceedings of ICRDEEE 2022 LNEE, volume 979 277-289,2023.
8. G. Murali Krishna, G. Mallesham, M. Kannan Autonomous Integrity Monitoring of INS/GPS Integrated Navigation System under Multipath Environment 6th International Conference on Electronics, Communication and Aerospace Technology [ICECA 2022]. ISBN: 978-1-6654-8270-7 53-60 2022.
9. S. Mamatha G. Mallesham Hybrid AC/DC microgrid control and management of power using Bidirectional AC/DC Converter by Autonomous Control Mode ICRDEEE International Conference 2022
10. Srinu Bhukya, Anil Bharadwaj, N V Phanedra Babu, G Mallesham, Suman Maiti Control of Asymmetrical Multilevel STATCOM with Hybrid Energy System National Power Electronics Conference (NPEC) IEEE 1-6 2021.
11. CH. Siva Kumar G. Mallesham Implementation of a New Hybrid Boosting Converter for High Gain Enhancement of SOFC System 3rd International Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering & Technology (ICSISCET 2021).
12. CH. Siva Kumar G. Mallesham A New Hybrid Boost Converter with Cuckoo Search MPPT for High Gain Enhancement of Solar PV System International Conference on Computing, Communication, and Sensor Networks 2021
13. G. Mallesham and CH. Siva Kumar, “Power Quality Improvement of a Decentralized Hybrid Sustainable Energy System”, ICCCEEE-2020, Pulla Reddy Engineering College (A) Kurnool, 2020.
14. CH Siva Kumar, G Mallesham Implementation of ANN-Based UPQC to Improve Power Quality of Hybrid Green Energy System, Energy Systems, Drives and Automation: Proceedings of ESDA 2019 pages 13-23, Springer Singapore, 2020
15. G. Mallesham and CH. Siva Kumar Performance of three-phase AI controller-based UPQC to enhance power quality of hybrid RES Energy Systems, Drives, and Automation (ESDA)- 2019.
16. G. Mallesham CH. Siva Kumar Performance analysis of ANN-based UPQC: to improve power quality of hybrid green energy system connected to weak grid Computing, Communication and Sensor Network (CCSN)- 2019.
17. G. Mallesham CH. Siva Kumar Enhancement of Power Quality using UPQC for Hybrid SOFC and SCIG based Wind energy system connected to weak grid International Conference on Electrical, Communication, Electronics, Instrumentation and Computing (ICECEIC)- 2019.
18. CH. Siva Kumar, G. Mallesham “Comparative Analysis of a New Three-Phase Diode Clamped Seven Level and Eleven Level Multilevel Inverter based PMSG with IGBTs and GTOs Connected to Grid” International Conference on Electrical, Communication, Electronics, Instrumentation and Computing (ICECEIC)-2019.
19. G. Srikanth M. Sudhakar G. Mallesham Neuro-Fuzzy Inference TCSC Based Multi Machine System Stability Enhancement of DFIG Offshore Wind Farm IEEE International Conference on Innovative Technologies in Engineering 2018(ICITE- 2018).
20. G. Mallesham CH. Siva Kumar Multi-Objective Micro Genetic Algorithm Based Planning and Sizing of Distributed Generation with Different Load Models IEEE International Conference on Innovative Technologies in Engineering 2018(ICITE- 2018)
21. G. Mallesham and CH. Siva Kumar, “Enhancement of power quality using UPQC for a hybrid SOFC and PMSG based wind energy system connected to the weak grid,” International Conference on Recent Innovations in Electrical and Electronic Engineering-2017 (ICRIEEE-2017), HELIX. Vol 8(3): pp. 3313-20, 2018 Jan 1.
22. G. Mallesham and CH. Siva Kumar, “Multi objective Micro genetic Algorithm Based Planning and Sizing of Distributed Generation with Different Load Models, “IEEE International Conference on Innovative Technologies in Engineering 2018(ICITE-2018), OU.
23. G. Mallesham and CH. Siva Kumar, “Enhancement of power quality using UPQC for hybrid PEMFC and DFIG based wind energy system connected to the weak grid,” International Conference on Technological Advancements in Power and Energy (TAP Energy) 2017 Dec 21 (pp. 1-6). IEEE.
24. S. Mishra, A.N. Jha, G. Mallesham, Ziegler-Nichols based controller parameters tuning for load frequency control in a microgrid, IEEE International Conference on Energy, Automation, and Signals (ICEAS-2011), (28th 30th December 2011).
25. G. Mallesham, S. Mishra, A.N. Jha, Tuning of Parameters in Microgrid Using Biogeography Based Optimization (BBO)”, Southern African Universities Power Engineering Conference (SAUPEC 2011), University of Cape Town, South Africa, 13 to 15 July 2011. The year 2010
26. S.S. Murthy, S. Mishra, G. Mallesham, P. Chandra Shekar, Voltage and Frequency Control of Wind Diesel Hybrid System with Variable Speed Wind Turbine, Proc. Of IEEE International Conference on Power Electronics, Drives and Energy Systems for Industrial Growth, India, December 2010.
27. G. Mallesham, S. Mishra, and A. N. Jha,” Optimization of Control Parameters in AGC of Microgrid using Gradient Descent Method,” in 16th National Power Systems Conf. (NPSC-2010), Hyderabad, 2010, pp. 37-42 the Year 2009
28. G. Mallesham, S. Mishra, and A. N. Jha,” Maiden Application of Ziegler- Nichols Method to AGC of Distributed Generation System Proc. Of Int. Conf. Power Systems Conf. and Exposition, Seattle, March 2009, pp. 1-7 the Year 2008
29. G. Mallesham, Vineela, Suraj Load Frequency Control Using Artificial Intelligence Method, 2nd National Conference on Advances in Energy Conversation Technologies (AECT-2008), IEEE PES, Bangalore Chapter, 18th 19th April 2008.
30. G. Mallesham, B. Mangu, A. Suresh, Dinesh Reddy Non-Linear Dynamic Systems and Chaos- A Case Study in Electrical Engineering, 2nd National Conference on Advances in Energy Conversation Technologies, AECT-2008, MIT Manipal, Manipal, 18th 19th April 2008. The year 2007
31. G. Mallesham, K.B. Venkata Ramana, Speed Control of DC Motor Using Fuzzy Logic Based Set-Point Weight Turing of PID Controllers, at International Conference on Electrical Engg. Design and Technology, Hamamet, Tunisia, 5-6 November 2007.
32. A. Rajani, G. Mallesham, Flight Vehicle Stabilization Using Fuzzy Logic Controller, National Systems Conference, Manipal, 14 -15, December 2007. The year 2006
33. G. Mallesham, A. Rajani, Automatic Generation Control Using Fuzzy Logic, Proceedings of the Eighth IASTED International Conference on Control and Applications (CA 2006), pp:188-194, Montreal, Canada, May 24 26, 2006.
34. G. Mallesham, A. Rajani, Automatic Tuning of PID Controller Using Fuzzy Logic, 8th International Conference on Development and Application Systems, (DAS 2006), pp: 122-127, Suceava, Romania May 25 27, 2006.
35. G. Mallesham, Anand Keerti, Inrush Current Control of a DC-DC Converter using MOSFET at IEEE International Conference on Power Electronics, Drives and Energy Systems for Industrial Growth 2006 (PEDES-2006) to held in December 2006.
36. G. Mallesham, A.N. Jha, A short term load forecasting using Fuzzy Logic presented in International Conference on Digital Aided Modelling and Simulation (An evolutionary approach) held at Coimbatore Institute of Technology, Coimbatore in Jan 2003. The year 2002
37. G. Mallesham, A.N. Jha, Short term load forecasting using Artificial neural networks, National Conference on Sensors and Instrumentation,5-6th January 2002 at Hyderabad.
c. Books/Reports/Chapters/General articles etc.
1. Sreenu, Ch., Mallesham, G., Chandra Shekar, T., Salkuti, S.R. (2025). Application of Swarm Intelligence Techniques for Quasi-Z-Source Inverters in Renewable Energy Systems. In: Salkuti, S.R. (eds) Artificial Intelligence for Integrated Smart Energy Systems in Electric Vehicles. Lecture Notes in Electrical Engineering, vol 1427. Springer, Cham.
2. Sreenu, Ch., Mallesham, G., Chandra Shekar, T., Salkuti, S.R. (2025). Performance Evaluation of Quasi Z-Source Inverter Utilize for Grid Connected with Wind-PV Co-generation Systems. In: Salkuti, S.R. (eds) Artificial Intelligence for Integrated Smart Energy Systems in Electric Vehicles. Lecture Notes in Electrical Engineering, vol 1427. Springer, Cham.
3. Krishna Degavath, Mallesham Gaddam “Adaptive Control of Smart Microgrid Using AI Techniques” Wind and Solar Energy Applications: Technological Challenges and Advances Taylor & Francis Group, CRC Press 2023.
4. S Mamatha, G Mallesham “A Review on Multi objective Control Schemes of Conventional Hybrid DC/AC Microgrid” Wind and Solar Energy Applications: Technological Challenges and Advances Taylor & Francis Group, CRC Press 2023.