Academic | Engineer | Entrepreneur

Research

I have worked on the engineering aspects of solar cells and modules, all the way to analysing policies’ impact on energy intensity. I have also held positions in many top universities across the world, namely Yonsei University in South Korea, University of Sao Paulo in Brazil, Tsinghua University in China, and National University of Singapore in Singapore.

I don’t only conduct my own research, but also actively collaborate with other people across many different fields. As one of my goals is to advance research in Indonesia (and to move towards science-based regulations), I am open to research collaborations which help me and others in achieving this goal. Please contact me if you would like to collaborate!

Below are some of the publications resulting from my research works and collaborations. For the full list, please visit my Google Scholar Profile.

On top of writing academic papers, I am also contributing back to the scientific community by being reviewers of the following journals:

  • IEEE Computational Intelligence Magazine
  • IEEE Transactions on Evolutionary Computation
  • IEEE Transactions on Power Systems
  • IEEE Transactions on Smart Grid
  • IEEE Transactions on Sustainable Energy
  • Solar Energy

Solar Energy Integration into Electrical Grid

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  1. O. Gandhi, C. D. Rodríguez-Gallegos, W. Zhang, D. Srinivasan, and T. Reindl, “Economic and technical analysis of reactive power provision from distributed energy resources in microgrids,” Applied Energy, vol. 210, pp. 827841, 2018.
  2. O. Gandhi, W. Zhang, C. D. Rodríguez-Gallegos, D. Srinivasan, M. Bieri, and T. Reindl, “Analytical approach to optimal reactive power dispatch and energy arbitrage in distribution systems with DERs,” IEEE Transactions on Power Systems, vol. 33, no. 6, pp. 6522–6533, 2018.
  3. O. Gandhi, C. D. Rodríguez-Gallegos, T. Reindl, and D. Srinivasan, “Competitiveness of PV Inverter as a Reactive Power Compensator considering Inverter Lifetime Reduction”, Energy Procedia, vol. 150 pp. 74-82, 2018.
  4. O. Gandhi, W. Zhang, C. D. Rodríguez-Gallegos, H. Verbois, H. Sun, T. Reindl, and D. Srinivasan, “Local reactive power dispatch optimisation minimising global objectives”, Applied Energy, vol. 262, 2020.
  5. O. Gandhi, D. S. Kumar, C. D. Rodríguez-Gallegos, D. Srinivasan, “Review of power system impacts at high PV penetration Part I: Factors limiting PV penetration,” Solar Energy, 2020.
  6. O. Gandhi, C. D. Rodríguez-Gallegos, and D. Srinivasan, “Review of optimization of power dispatch in renewable energy system,” in 2016 IEEE Innovative Smart Grid Technologies – Asia (ISGT-Asia). Melbourne: IEEE, nov 2016, pp. 250-257.
  7. O. Gandhi, D. Srinivasan, C. D. Rodríguez-Gallegos, and T. Reindl, “Competitiveness of Reactive Power Provision using PV Inverter in Distribution System”, in 2017 IEEE Innovative Smart Grid Technologies – Europe (ISGT-Europe). Torino: IEEE, sep 2017, pp. 1-6.
  8. O. Gandhi, C. D. Rodríguez-Gallegos, T. Reindl, and D. Srinivasan, “Locally-determined Voltage Droop Control for Distribution Systems”, in 2018 IEEE Innovative Smart Grid Technologies – Asia (ISGT-Asia). Singapore: IEEE, may 2018, pp. 425-429.

 

Off-Grid Solar Energy Systems

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  1. C. D. Rodríguez-Gallegos, O. Gandhi, D. Yang, M. S. Alvarez-Alvarado, W. Zhang, T. Reindl, and S. K. Panda, “A Siting and Sizing Optimization Approach for PV-Battery-Diesel Hybrid Systems,” IEEE Transactions on Industry Applications, vol. 54, no. 3, pp. 2637–2645, 2018.
  2. C. D. Rodríguez-Gallegos, D. Yang, O. Gandhi, M. Bieri, T. Reindl, and S. K. Panda, “A multi-objective and robust optimization approach for sizing and placement of PV & batteries in off-grid systems fully operated by diesel generators: An Indonesian case study,” Energy, vol. 160, pp. 410–429, Oct. 2018.
  3. C. D. Rodríguez-Gallegos, O. Gandhi, M. Bieri, T. Reindl, S. K. Panda, “A diesel replacement strategy for off-grid systems based on the progressive introduction of PV and batteries: An Indonesian case study”, Applied Energy, vol. 229, pp. 1218–1232, Nov. 2018.
  4. C. D. Rodríguez-Gallegos, K. Rahbar, M. Bieri, O. Gandhi, T. Reindl, and S. K. Panda, “Optimal PV and storage sizing for PV-battery-diesel hybrid systems,” in IECON 2016 – 42nd Annual Conference of the IEEE Industrial Electronics Society. Florence: IEEE, oct 2016, pp. 3080-3086.
  5. C. D. Rodríguez-Gallegos, M. S. Alvarez-Alvarado, O. Gandhi, D. Yang, W. Zhang, T. Reindl, and S. K. Panda, “Placement and sizing optimization for PV-battery-diesel hybrid systems,” in 2016 IEEE International Conference on Sustainable Energy Technologies (ICSET). Hanoi: IEEE, nov 2016, pp. 83-89.
  6. C. D. Rodríguez-Gallegos, O. Gandhi, T. Reindl, and S. K. Panda, “PHSO: A graphic user interface optimizer for the sizing design of PV hybrid systems,” in Proc. 33rd European PV Solar Energy Conference and Exhibition. Amsterdam, sep 2017, pp. 2375–2379.

Solar Cells, Modules, and Systems

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  1. C. D. Rodríguez-Gallegos, M. Bieri, O. Gandhi, J. P. Singh, T. Reindl, S. K. Panda, “Monofacial vs Bifacial Si-based PV Modules: Which One is More Cost-effective?”, Solar Energy, vol. 176, pp. 412–438, Oct. 2018.
  2. C. D. Rodríguez-Gallegos, O. Gandhi, J. M. Y. Ali, V. Shanmugam, T. Reindl, S. K. Panda, “On the grid metallization optimization design for monofacial and bifacial Si-based PV modules for real-world conditions”, IEEE Journal of Photovoltaics, vol. 9, no. 1, pp. 112–118, Jan. 2019.
  3. C. D. Rodríguez-Gallegos, J. P. Singh, J. M. Y. Ali, O. Gandhi, S. Nalluri, A. Kumar, V. Shanmugam, M. L. Aguilar, M. Bieri, T. Reindl, and S. K. Panda, “PV-GO: A multiobjective & robust optimization approach for the grid metallization design of Si based solar cells and modules,” Progress in Photovoltaics: Research and Applications, vol. 27, pp. 113–135, 2019.
  4. C. D. Rodríguez-Gallegos, H. Liu, O. Gandhi, J. P. Singh, V. Krishnamurthy, A. Kumar, J. S. Stein, S. Wang, L. Li, T. Reindl, I. M. Peters, “Global Techno-Economic Performance of Bifacial and Tracking Photovoltaic Systems,” Joule, 2020, ISSN 2542-4351.
  5. C. D. Rodríguez-Gallegos, O. Gandhi, S. K. Panda and T. Reindl, “On the PV Tracker Performance: Tracking the Sun Versus Tracking the Best Orientation,” IEEE Journal of Photovoltaics, 2020.

Energy Policy

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  1. O. Gandhi, A. H. Oshiro, H. K. de Medeiros Costa, E. M. Santos, “Energy intensity trend explained for Sao Paulo state”, Renewable and Sustainable Energy Reviews, vol. 77, pp. 1046-1054, 2017.

Energy Storages and Electric Vehicles

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  1. W. Zhang, O. Gandhi, H. Quan, C. D. Rodríguez-Gallegos, D. Srinivasan, “A Multi-agent Based Integrated Volt-var Optimization Engine for Fast Vehicle-to-Grid Reactive Power Dispatch and Electric Vehicle Coordination”, Applied Energy, vol. 229, pp. 96–110, Nov. 2018.
  2. C. Luerssen, O. Gandhi, T. Reindl, C. Sekhar, and D. Cheong, “Levelised Cost of Storage (LCOS) for solar-PV-powered cooling systems in the tropics”, Applied Energy, vol. 242, pp. 640–654, 2019.
  3. Luerssen, O. Gandhi, T. Reindl, C. Sekhar, and D. Cheong, “Life cycle cost analysis ( LCCA ) of PV-powered cooling systems with thermal energy and battery storage for off-grid applications,” Applied Energy, vol. 273, 115145, 2020.
  4. O. Gandhi, W. Zhang, C. D. Rodríguez-Gallegos, D. Srinivasan, and T. Reindl, “Continuous optimization of reactive power from PV and EV in distribution system,” in 2016 IEEE Innovative Smart Grid Technologies – Asia (ISGT-Asia). Melbourne: IEEE, nov 2016, pp. 281-287.
  5. W. Zhang, H. Quan, O. Gandhi, C. D. Rodríguez-Gallegos, D. Srinivasan, Y. Weng, “Dynamic and fast electric vehicle charging coordinating scheme, considering V2G based var compensation”, in 2017 IEEE Conference on Energy Internet and Energy System Integration (EI2). Beijing: IEEE, nov 2017.
  6. C. Luerssen, O. Gandhi, T. Reindl, D. Cheong, C. Sekhar, “Levelised Cost of Thermal Energy Storage and Battery Storage to Store Solar PV Energy for Cooling Purpose”, in 12th International Conference on Solar Energy for Buildings and Industry (EuroSun). Rapperswil, sep 2018.

Solar Forecasting and Machine Learning Algorithms

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  1. G. M. Yagli, D. Yang, O. Gandhi, and D. Srinivasan, “Can we justify producing univariate machine-learning forecasts with satellite-derived solar irradiance?”, Applied Energy, vol. 259, 2020.
  2. W. Zhang, H. Quan, O. Gandhi, R. Rajagopal, C. Tan and D. Srinivasan, “Improving Probabilistic Load Forecasting using Quantile Regression NN with Skip Connections,” in IEEE Transactions on Smart Grid, 2020.
  3. W. Zhang, H. Quan, O. Gandhi, C. D. Rodríguez-Gallegos, A. Sharma, D. Srinivasan, “An ensemble machine learning based approach for constructing probabilistic PV generation forecasting”, in 2017 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC). Bangalore: IEEE, nov 2017.
  4. W. Zhang, H. Quan, O. Gandhi, and D. Srinivasan, “Reliable Photovoltaic Generation Forecasting via Quantile Determination,” 2019 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT). Washington, DC, USA, 2019, pp. 1-5.