Mr Yogesh Pipada Sunil Kumar

School of Electrical and Mechanical Engineering

College of Engineering and Information Technology


About Me:

Currently an Industrial PhD candidate with a Masters in Engineering (Electrical) in University of Melbourne. I also have some former work experience in solar farm and capacitor bank commissioning.

My Current Research:

Currently researching on optimal bidding strategies for Aggregators of Distributed Energy Resources, in the Wholesale and Real time energy markets.

 

Date Institution name Country Title
2021 University of Adelaide Australia PhD
2019 - 2020 University of Melbourne Australia Masters of Engineering (Electrical)
2013 - 2017 Sri Venkateswara College of Engineering India BEng Electrical and Electronics

Year Citation
2025 Bergmeir, C., de Nijs, F., Genov, E., Sriramulu, A., Abolghasemi, M., Bean, R., . . . Yuan, R. (2025). Predict+Optimize Problem in Renewable Energy Scheduling. IEEE Access, 13, 60064-60087.
DOI Scopus2 WoS2
2021 Yuan, R., Dinh, N. T., Kumar, Y. P. S., & Pourmousavi, S. A. (2021). Optimal activity and battery scheduling algorithm using load and solar generation forecast.. CoRR, abs/2112.02827.

Year Citation
2024 Shaikh, R. A., Sunil Kumar, Y. P., Islam, S. M. M., & Abbott, D. (2024). Techno-economic Analysis of Optimal Grid-Connected Renewable Electricity and Hydrogen-to-Power Dispatch. In Proceedings of the 4th International Conference on Power, Energy, and Electrical Engineering (PEEE, 2023) as published in the Journal of Physics : Conference Series Vol. 2689 (pp. 012013-1-012013-7). Online: Institute of Physics (IoP).
DOI Scopus1
2022 Kumar, Y. P. S., Yuan, R., Dinh, N. T., & Pourmousavi, S. A. (2022). Optimal activity and battery scheduling algorithm using load and solar generation forecasts. In 2022 32nd Australasian Universities Power Engineering Conference (AUPEC) Vol. abs/2210.12990 (pp. 1-6). Adelaide, SA. Aust: IEEE.
DOI Scopus2 WoS2
2022 Dinh, N. T., Pourmousavi, S. A., Karimi-Arpanahi, S., Kumar, Y. P. S., Guo, M., Abbott, D., & Liisberg, J. A. R. (2022). Optimal sizing and scheduling of community battery storage within a local market. In e-Energy 2022 - Proceedings of the 2022 13th ACM International Conference on Future Energy Systems (pp. 34-46). Online: ACM.
DOI Scopus7 WoS8
2022 Kumar, Y. P. S., Ali Pourmousavi, S., Wagner, M., & Liisberg, J. A. R. (2022). Optimal offering strategy for an aggregator across multiple products of European day-ahead market. In IEEE PES Innovative Smart Grid Technologies Conference Europe Vol. 2022-October (pp. 1-6). Nova Sad, Serbia: IEEE.
DOI

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