Associate Professor

PROFESSIONAL LINKS[/alert]

Scopus ID: 19934739800

ORCID: 0000-0002-4771-1593

Google Scholar ID: ‪Dr.M. Ulagammai - ‪Google Scholar

AU Supervisor ID: 3130011

LinkedIn: dr-ulagammai-meyyappan-6bb284a6 

Academic: 17.5 years

• Power Systems

• Renewable energy systems
• Artificial intelligence and Machine learning

• Yuvaraj T,Suresh T, Ulagammai Meyyappan ,”Optimizing the allocation of renewable DGs, DSTATCOM, and BESS to mitigate the impact of electric vehicle charging stations on radial distribution systems”, Heliyon,Elseveir, Vol. 9,Issue 12Published online: November 28, 2023
• Shanmuga Kani & M. Ulagammai (2023) Integrated Renewable Energy Storage System with Enhanced Self-Adaptive Differential Evolution Algorithm on Profit Maximization, Electric Power Components and Systems, August 2023
• Ulagammai M, Kavitha D, Differential Evolution Algorithm Based Optimization of networked microgrids”- Lecture notes in networks and systems, Springer Nature, July 2023
• Ulagammai M, “Security Camera with AI voice assistant and face recognition” – Springer , August 2023 • Ulagammai M,Narayanamoorthy, “ An AR based intelligent precision agriculture using cascade advancement deep learning technique” – IEEE XPLORE, May 2023
• Ulagammai, "Short Term Load Forecasting Using ANN and WNN," 2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE), Bengaluru, India, 2023, pp. 612-616, doi: 10.1109/IITCEE57236.2023.10091081.
• Ulagammai Meyyappan, “Demand response and optimal power flow in wind power in· corporated energy storage systems”, - Intelligent Automation and Soft computing, Techscience press, June 2022, Vol 35, pp:399-413
• M, Joyal Isac.S, “Solar Power Forecasting Incorporated Energy Management Scheduling in a Microgrid:”,Design Engineering - 0011- 9342 Vol 2021: Issue 08, 4243-4249
• Shanmugakani, Ulagammai Meyyappan, Joyal Isac, “A review on Optimal sizing of Battery storage technologies”, Solid state Technology, Vol no 63, 2s ,November 2020, ISSN: 0038-111X
• Joyal Isac, Ulagammai Meyyappan, Shanmugakani, “Child Safety Wearable Device Using Raspberry Pi”, Solid state Technology, Vol no 63, 2s ,November 2020, ISSN: 0038-111X
• Ulagammai Meyyappan, “Optimal Sizing and Allocation of Energy Storage in Wind Power Incorporated Optimal Power Flow”, - International Journal of Wind Engineering – June 2019
• Ulagammai Meyyappan, “Wavelet neural network–based wind speed forecasting and application of shuffled frog leap algorithm for economic dispatch with prohibited zones incorporating wind power”, International journal of Wind Engineering, Sage Publications, August 2017
• Ulagammai Meyyappan&Kumudini Devi RaguruPandu, ‘Wavelet Neural Network­based Wind-power Forecasting in Economic Dispatch: A Differential Evolution, Bacterial Foraging Technology, and PrimalDual-interior Point Approach’, Electric Power Components and Systems, Taylor and Francis, vol.43, no.13, pp.1–12, 2015
• UlagammaiMeyyappan & KumudiniDevi,RP, ‘Wavelet Neural Network Based Wind Speed Forecasting and Wind Power Incorporated Economic Dispatch With Losses’,International journal of Wind Engineering, vol.39, no. 3, pp.237-252, 2015
• Dhivya, S, Ulagammai, M&Kumudini Devi, RP, ‘Performance Evaluation Of Different Ann Models for Medium Term Wind Speed Forecasting’,International journal of Wind Engineering,vol.35, no.4,pp.433-444,2011
• Ulagammai M, ‘Short Term Load Forecasting Using ANN and WNN’ InternationalJournal of Computer Trends and Technology (IJCTT) – March to April Issue , ISSN: 2231-2803, pp 179- 183, 2011
• Ulagammai M, ‘Load Flow Analysis Using Particle Swarm Optimization Trained Neural Networks’, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, Vol. 1, Issue 6, December 2012,pp 582-586
• Ulagammai, M, Venkatesh, P, Kannan, PS & Narayana Prasad Padhy, ‘Application of Bacterial Foraging Tehnique Trained Artificial and Wavelet Neural Network in Load Forecasting’,Elseveir Science Direct, Journal of Neurocomputing, vol. 70, pp. 2659-2667, 2007.

• Ulagammai M. Joyal Isac, “Optimal Allocation Of Energy Storage To Minimise Loss Using Shuffled Frog Leap Algorithm”, Journal of the Balkan Tribological Association
• Ulagammai M, “Automatic Solar panel dust cleaning system”, AIP Proceedings, June 2022
• Ulagammai Meyyappan, “Optimal Sizing and Allocation of Energy Storage in Wind Power Incorporated Optimal Power Flow”, - International Journal of Wind Engineering – June 2019
• Ulagammai Meyyappan, “Wavelet neural network–based wind speed forecasting and application of shuffled frog leap algorithm for economic dispatch with prohibited zones incorporating wind power”, International journal of Wind Engineering, Sage Publications, August 2017
• Ulagammai Meyyappan & KumudiniDevi,RP, ‘Wavelet Neural Network Based Wind Speed Forecasting and Wind Power Incorporated Economic Dispatch With Losses’ ,International journal of Wind Engineering, vol.39, no. 3, pp.237-252, 2015
• Dhivya, S, Ulagammai, M&Kumudini Devi, RP, ‘Performance Evaluation Of Different Ann Models for Medium Term Wind Speed Forecasting’ ,International journal of Wind Engineering,35, no.4,pp.433-444,2011

• M, Joyal Isac.S, “Solar Power Forecasting Incorporated Energy Management Scheduling in a Microgrid:”,Design Engineering - 0011- 9342 Vol 2021: Issue 08, 4243-4249
• Shanmugakani, Ulagammai Meyyappan, Joyal Isac, “A review on Optimal sizing of Battery storage technologies”, Solid state Technology, Vol no 63, 2s ,November 2020, ISSN: 0038-111X
• Joyal Isac, Ulagammai Meyyappan, Shanmugakani, “Child Safety Wearable Device Using Raspberry Pi”, Solid state Technology, Vol no 63, 2s ,November 2020, ISSN: 0038-111X
• Ulagammai M , ‘Short Term Load Forecasting Using ANN and WNN’ International Journal of Computer Trends and Technology (IJCTT) – March to April Issue , ISSN: 2231-2803, pp 179- 183, 2011
• Ulagammai M, ‘Load Flow Analysis Using Particle Swarm Optimization Trained Neural Networks’, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, Vol. 1, Issue 6, December 2012,pp 582-586

• Paper titled, “Optimized Self-Supportive Architecture of Networked Microgrids using Differential Evolution Algorithm”,ICOCS 22- Received Best paper award
• Paper titled, “CHILD SAFETY WEARABLE DEVICE USING RASPBERRY PI”, International e-Conference on Green Technologies for Power generation, Communication and Health Care on 6th June,2020 , SPIHER, Chennai,
• Paper titled, " Demand Response Based Wind Power Incorporated Optimal Power Flow - An Economic Analysis" has been selected for presentation in the "International conference on Power Generation Systems and Renewable Energy Technologies" in Malaysia from April 4th to 6th 2017.
• Presented a poster in NPERSM on Optimal Sizing and Allocation of Energy Storage in Wind Power Incorporated Optimal Power Flow held at IIT Madras on 29.12.15 and 30.12.15.
• Presented a paper for National Conference (NACPED’05), GCE, Tirunelveli on “Short Term Load Forecasting using ANN and WNN”
• Presented a paper for International conference (CITICOMS 2007), CIT, Coimbatore, India on “Load flow analysis using PSO trained neural network”

• Completed online certification course on Machine Learning Specialization with Python from IIT Rourkee
• Completed Masters in Artificial intelligence course (8 months)
• Completed Python core from Sololearn

• Two weeks FDP on Pedagogy for Online and Blended Teaching-Learning Process, IIT Bombay, Saveetha Engineering College, 14.09.2017 to 12.10.2017
• Two weeks FDP on IoT, NITLIT, Saveetha Engineering College from Nov 20 2017 to Dec 10, 2017
• One week AICTE sponsored FDP on Teaching Learning,Saveetha Engineering College from 5.3.18 to 09.03.18
• One week FDP on Renewable and sustainable energy, SRM university from 28.11.18 to 01.12.18.
• One week virtual FDP on Renewable energy systems conducted by PITfro 8.06.20-13.06.20
• Attended FDP on Optimisation trechniques conducted by SSN from 5 – 7 june 2020
• Attended STTP on Advanced power system simulation software conducted by SSNCE from 26.-6.20 to 28.06.20
• Attended One week FDP on Current affairs and research scope in renewable energy conducted by CIT from29.06.20 to 03.07.20
• Attended one week FDP on Digital Teaching techniques conducted by ICT Academy 29.06.20 to 04.07.20
• Attended TEQIP III Sponsored Five days online Workshop on Advancements in Electrical Engineering: An Academic & Industrial Approach conducted by the Department of Electrical Engineering, National Institute of Technology, Silchar
• Attended Atal sponsored Blended FDP on Artificial Intelligence in 4G/5G networks – 21.11.22 to 02.12.22
• Attended one week IFDP on Research trends in Electrical and Electronics Engineering conducted by Easwari engineering college from 05.1.23 to 12.1.23

• IEI – Life Member