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Honorary Associate Professor Ganesh Kothapalli

Honorary Associate Professor

Staff Member Details
Email: g.kothapalli@ecu.edu.au

Ganesh obtained a PhD degree from the University of New South Wales and a Master of Science degree from the University of Alberta.  He also holds a Bachelor of Engineering degree from Bangalore University.

Prior to joining ECU, Ganesh held academic positions at the University of New South Wales and Monash University. Ganesh has expertise in the design of electronic and control systems. His recent publications cover the applications of Artificial Intelligence, Renewable Energy and robotic systems. Ganesh has over 30 years of teaching experience covering diverse subjects in electrical and computer systems engineering. He held teaching positions in Australia, Canada and Germany and taught advanced graduate courses in electronics and computer systems.

Research areas and interests

  • Optimisation of stand-alone hybrid energy systems
  • Application of Artificial Intelligence in power systems, renewable and sustainable energy
  • Applications of evolutionary and metaheuristic optimization algorithms in robotics, hydraulic and pneumatic control systems

Qualifications

  • Doctor of Philosophy, The University of New South Wales, 1995.
  • Master of Science, Canada, 1985.
  • Bachelor of Engineering, India, 1981.

Research Outputs

Journal Articles

  • Das, B., Al-Abdeli, Y., Kothapalli, G. (2021). Integrating renewables into stand-alone hybrid systems meeting electric, heating, and cooling loads: A case study. Renewable Energy, 180(December 2021), 1222-1236. https://doi.org/10.1016/j.renene.2021.09.016.

Journal Articles

  • Mousavi, N., Kothapalli, G., Habibi, D., Lachowicz, S., Moghaddam, V. (2020). A real-time energy management strategy for pumped hydro storage systems in farmhouses. Journal of Energy Storage, 32(December 2020), Article number 101928. https://doi.org/10.1016/j.est.2020.101928.
  • Pradhan, P., Ahmad, I., Habibi, D., Kothapalli, G., Masoum, MA. (2020). Reducing the Impacts of Electric Vehicle Charging on Power Distribution Transformers. IEEE Access, 8(24 November 2020), 210183-210193. https://doi.org/10.1109/ACCESS.2020.3040056.
  • Das, CK., Mahmoud, T., Bass, O., Muyeen, S., Kothapalli, G., Baniasadi, A., Mousavi, N. (2020). Optimal sizing of a utility-scale energy storage system in transmission networks to improve frequency response. Journal of Energy Storage, 29(June 2020), Article number 101315. https://doi.org/10.1016/j.est.2020.101315.
  • Mousavi, N., Kothapalli, G., Habibi, D., Das, C., Baniasadi, A. (2020). A novel photovoltaic-pumped hydro storage microgrid applicable to rural areas. Applied Energy, 262(15 March 2020), Article number 114284. https://doi.org/10.1016/j.apenergy.2019.114284.
  • Mousavi, N., Kothapalli, G., Habibi, D., Das, C., Baniasadi, A. (2020). Modelling, design, and experimental validation of a grid-connected farmhouse comprising a photovoltaic and a pumped hydro storage system. Energy Conversion and Management, 210(15 April 2020), Article number 112675. https://doi.org/10.1016/j.enconman.2020.112675.

Journal Articles

  • Das, CK., Bass, O., Mahmoud, T., Kothapalli, G., Mousavi, N., Habibi, D., Sherkat Masoum, MA. (2019). Optimal allocation of distributed energy storage systems to improve performance and power quality of distribution networks. Applied Energy, 252(15 October 2019), Article number 113468. https://doi.org/10.1016/j.apenergy.2019.113468.
  • Mousavi, N., Kothapalli, G., Habibi, D., Khiadani, M., Das, C. (2019). An improved mathematical model for a pumped hydro storage system considering electrical, mechanical, and hydraulic losses. Applied Energy, 247(1 August 2019), 228-236. https://doi.org/10.1016/j.apenergy.2019.03.015.
  • Das, CK., Bass, O., Mahmoud, T., Kothapalli, G., Sherkat Masoum, MA., Mousavi, N. (2019). An optimal allocation and sizing strategy of distributed energy storage systems to improve performance of distribution networks. Journal of Energy Storage, 26(December 2019), Article number 100847. https://doi.org/10.1016/j.est.2019.100847.

Conference Publications

  • Mousavi, N., Kothapalli, G., Habibi, D., Das, C. (2019). Operational Cost reduction of PV-PHS systems in farmhouses: Modelling, Design, and Experimental validation. IOP Conference Series: Earth and Environmental Science (EES) (8 p.). IOP Publishing. https://doi.org/10.1088/1755-1315/322/1/012011.

Journal Articles

  • Das, CK., Bass, O., Kothapalli, G., Mahmoud, T., Habibi, D. (2018). Overview of energy storage systems in distribution networks: Placement, sizing, operation, and power quality. Renewable and Sustainable Energy Reviews, 91(August 2018), 1205-1230. https://doi.org/10.1016/j.rser.2018.03.068.
  • Das, CK., Bass, O., Kothapalli, G., Mahmoud, T., Habibi, D. (2018). Optimal placement of distributed energy storage systems in distribution networks using artificial bee colony algorithm. Applied Energy, 232(15 December 2018), 212-228. https://doi.org/10.1016/j.apenergy.2018.07.100.
  • Das, B., Al-Abdeli, Y., Kothapalli, G. (2018). Effect of load following strategies, hardware, and thermal load distribution on stand-alone hybrid CCHP systems. Applied Energy, 220(June), 735-753. https://doi.org/10.1016/j.apenergy.2018.03.068.

Journal Articles

  • Das, B., Al-Abdeli, Y., Kothapalli, G. (2017). Optimisation of stand-alone hybrid energy systems supplemented by combustion-based prime movers. Applied Energy, 196(15 June), 18-33. https://doi.org/10.1016/j.apenergy.2017.03.119.

Journal Articles

  • Brka, A., Al-Abdeli, Y., Kothapalli, G. (2016). Predictive power management strategies for stand-alone hydrogen systems: Operational impact. International Journal of Hydrogen Energy, 41(16), 6685-6698. https://doi.org/10.1016/j.ijhydene.2016.03.085.
  • Brka, A., Al-Abdeli, Y., Kothapalli, G. (2016). Influence of neural network training parameters on short-term wind forecasting. International Journal of Sustainable Energy, 35(2), 115-131. https://doi.org/10.1080/14786451.2013.873437.

Journal Articles

  • Brka, A., Al-Abdeli, Y., Kothapalli, G. (2015). The interplay between renewables penetration, costing and emissions in the sizing of stand-alone hydrogen systems. International Journal of Hydrogen Energy, 40(1), 125-135. https://doi.org/10.1016/j.ijhydene.2014.10.132.
  • Brka, A., Kothapalli, G., Al-Abdeli, Y. (2015). Predictive power management strategies for standalone hydrogen systems: Lab-scale validation. International Journal of Hydrogen Energy, 40(32), 9907-9916. https://doi.org/10.1016/j.ijhydene.2015.06.081.
  • Ahooghalandari, M., Khiadani, M., Kothapalli, G. (2015). Assessment of Artificial Neural Networks and IHACRES models for simulating streamflow in Marillana catchment in the Pilbara, Western Australia. Australian Journal of Water Resources, 19(2), 116-126. https://doi.org/10.1080/13241583.2015.1116183.
  • Clarke, D., Al-Abdeli, Y., Kothapalli, G. (2015). Multi-objective optimisation of renewable hybrid energy systems with desalination. Energy, 88(2015), 457-468. https://doi.org/10.1016/j.energy.2015.05.065.

Journal Articles

  • Wonohadidjojo, D., Kothapalli, G., Hassan, M. (2014). Displacement and vibration reduction system in hydraulic excavator. Emirates Journal for Engineering Research, 19(3), 1-10.
  • Clarke, D., Al-Abdeli, Y., Kothapalli, G. (2014). The impact of using Particle Swarm Optimisation on the operational characteristics of a stand-alone hydrogen system with on-site water production. International Journal of Hydrogen Energy, 39(28), 15307-15319. https://doi.org/10.1016/j.ijhydene.2014.07.116.

Journal Articles

  • Clarke, D., Al-Abdeli, Y., Kothapalli, G. (2013). The impact of renewable energy intermittency on the operational characteristics of a stand-alone hydrogen generation system with on-site water production. International Journal of Hydrogen Energy, 38(28), 12253-12265. https://doi.org/10.1016/j.ijhydene.2013.07.031.
  • Wonohadidjojo, D., Kothapalli, G., Hassan, M. (2013). Position Control of Electro-hydraulic Actuator System Using Fuzzy Logic Controller Optimized by Particle Swarm Optimization. International Journal of Automation and Computing, 10(3), 181-193. https://doi.org/10.1007/s11633-013-0711-3.
  • Khusheef, A., Kothapalli, G., Tolouei Rad, M. (2013). Vision-based relocation of objects using a mobile robot. Emirates Journal for Engineering Research, 18(2), 1-16.
  • Clarke, D., Al-Abdeli, Y., Kothapalli, G. (2013). The effects of including intricacies in the modelling of a small-scale solar-PV reverse osmosis desalination system. Desalination, 311(2013), 127-136. https://doi.org/10.1016/j.desal.2012.11.006.

Journal Articles

  • Hassan, M., Kothapalli, G. (2012). Interval Type-2 fuzzy position control of electro-hydraulic actuated robotic excavator. International Journal of Mining Science and Technology, 22(3), 437-445. https://doi.org/10.1016/j.ijmst.2011.12.004.
  • Kothapalli, G., Hassan, M. (2012). Compensation of load variation using fuzzy controller for hydraulic actuated front end loader. Emirates Journal for Engineering Research, 17(1), 1-8.

Journal Articles

  • Kothapalli, G., Hassan, MY. (2011). Fuzzy Controlled Hydraulic Excavator with Model Parameter Uncertainty. World Academy of Science, Engineering and Technology, 5(12), 1335-1340.
  • Khusheef, A., Kothapalli, G., Tolouei Rad, M. (2011). An approach for integration of industrial robot with vision system and simulation software. World Academy of Science, Engineering and Technology, 58(2011), 18-23.

Conference Publications

  • Clarke, D., Al-Abdeli, Y., Kothapalli, G. (2011). Modelling Small-Scale Stand-Alone (PV) Energy Systems with Reverse Osmosis Integration. MODSIM2011, 19th International Congress on Modelling and Simulation. (3031-3037). Modelling and Simulation Society of Australia and New Zealand.
  • Khusheef, A., Kothapalli, G., Tolouei Rad, M. (2011). Simulation of a mobile robot navigation system. MODSIM2011, 19th International Congress on Modelling and Simulation (318-323). Modelling and Simulation Society of Australia and New Zealand.

Conference Publications

  • Hassan, M., Kothapalli, G. (2010). Comparison between neural network based PI and PID controllers. Systems Signals and Devices (SSD), 2010 7th International Multi-Conference on (1-6). IEEE. https://doi.org/10.1109/SSD.2010.5585598.

Journal Articles

  • Kothapalli, G., Hassan, M. (2008). Design of a Neural Network Based Intelligent PI Controller for a Pneumatic System. IAENG International Journal of Computer Science, 35(2), 5-14.

Conference Publications

  • Kothapalli, G. (2005). A study of neural network approaches for modeling industrial robot manipulators. Proceedings of the ICT WA 2005 conference: ICT Enabling our future (31-35). ICT Industry Collaboration Centre of Western Australia.
  • Kothapalli, G. (2005). An analog recurrent networks for trajectory learning and other industrial applications. INDIN 2005 3rd International Conference on Industrial Informatics (20-26). IEEE.
  • Kothapalli, G. (2005). A CMOS realizable recurrent neural network for signal identification. Proceedings of SPIE: Smart Structures, Devices, and Systems ii (93-100). SPIE.
  • Kothapalli, G. (2005). Analog Recurrent networks for signal tracking and control applications. IFIP VLSI-Soc 2005 Proceedings (294-299). ECU.

Conference Publications

  • Kothapalli, G. (2004). A hysteretic comparator's influence on a current-mode ADC. Proceedings of SPIE: Microelectronics: Design, Technology and Packaging (264-268). The Grimsay Press.
  • Kothapalli, G. (2004). Excitation modes and transient response of a winner-take-all circuit. Proceedings of the 2nd IEEE International Workshop on Electronic Design, Test and Applications (403-406). IEEE Computer Society.
  • Kothapalli, G. (2004). An analog synaptic circuit suitable for implementation in recurrent neural networks. International Conference on Informatics ICI 2004 proceedings (0). Makrosoft Ltd.

Conference Publications

  • Kothapalli, G. (2003). ADC Performance Limitations due to Quantizer non-idealities. ICECS 2003 : proceedings of the 2003 10th IEEE International Conference on Electronics, Circuits, and Systems (1240-1243). IEEE Press.
  • Kothapalli, G. (2003). Compensation of a winner take all circuit. Electronics, Circuits and Systems, 2003. ICECS 2003. Proceedings of the 2003 10th IEEE International Conference on (352-355). IEEE Press. https://doi.org/10.1109/ICECS.2003.1302049.

Conference Publications

  • Gendy, S., Kothapalli, G., Bouzerdoum, S. (2001). A fast algorithm for image restoration using a recurrent neural network with bound-constrained quadratic optimization. 7th Australian and New Zealand Intelligent Information Sytems Conference (0). Arcme.

Research Student Supervision

No data available

Principal Supervisor

  • Master of Engineering Science, Investigation on the mobile robot navigation in an unknown environment
  • Doctor of Philosophy, Optimisation of stand-alone hydrogen-based renewable energy systems using intelligent techniques
  • Doctor of Philosophy, The integration of pumped hydro storage systems into PV microgrids in rural areas
  • Doctor of Philosophy, Stand-alone solar-pv hydrogen energy systems incorporating reverse osmosis

Co-principal Supervisor

  • Master of Engineering Science, Intelligent computer-aided modular fixture design system for machining semi-circular parts.

Associate Supervisor

  • Doctor of Philosophy, Optimisation of stand-alone hybrid energy systems for power and thermal loads
  • Doctor of Philosophy, Coupled Human-Water Interactions in Formal-Informal Dynamics
  • Doctor of Philosophy, Smart management strategies of utility-scale energy storage systems in power networks
  • Doctor of Philosophy, A generalised feedforward neural network architecture: Development of training algorithms and applications to classifications and regression
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