Manju Agrawal

Adelaide University Online and Learning Futures

Academic


Dr Manju Agrawal joined UniSA as a doctoral  student, and thereafter held Research Associate positions in a number of interesting research projects at UniSA. Those include ARC project “Strategic integration of renewable energy systems into the electricity grid (2009-2011),  “Forecasting and characterising grid connected solar energy and developing synergies with wind” (2011-2014) and CRC Low Carbon Living "Adelaide Living Laboratory Task 2" (2015-2016).  She also has been involved in a number of consultancy projects, e.g.,  "Calculation of the Ecological Footprints of South Australia" and “An economic complexity analysis of Australia’s states”.
She is passionate about teaching of Mathematics, and has several years experience of teaching at UniSA. She has been involved in teaching of subjects like Calculus, Linear algebra, Engineering modelling, Mathematical Methods for Engineers 1 and 2.  She has vast experience of teaching online (with OUA) as well as face to face on-campus courses at UniSA.

Time Series modelling, Dynamical System Modelling, Harmonic Analysis, Optimisation, Feedback Control, Renewable Energy, Ecological Footprint, Economic Complexity, Sustainability solutions.

Year Citation
2015 Yaziz, S. R., Azizan, N. A., Ahmad, M. H., Zakaria, R., Agrawal, M., & Boland, J. (2015). Preliminary analysis on hybrid Box-Jenkins - GARCH modeling in forecasting gold price. In M. S. Mohamad, W. N. S. W. Yusoff, N. A. Z. M. Noar, R. Zakaria, & M. R. AbHamid (Eds.), Aip Conference Proceedings Vol. 1643 (pp. 289-297). MALAYSIA, Univ Malaysia Pahang, Fac Ind Scie & Technol, Pahang: AMER INST PHYSICS.
DOI Scopus4 WoS2
2013 Agrawal, M., Huang, J., & Boland, J. (2013). Probabilistic forecasting of wind farm output. In J. Piantadosi, R. S. Anderssen, & J. Boland (Eds.), Proceedings 20th International Congress on Modelling and Simulation Modsim 2013 (pp. 1461-1467). AUSTRALIA, Adelaide: MODELLING & SIMULATION SOC AUSTRALIA & NEW ZEALAND INC.
Scopus2
2013 Agrawal, M., Huang, J., & Boland, J. W. (2013). Probabilistic forecasting of wind farm output. In J. Piantadosi, R. S. Anderssen, & J. Boland (Eds.), MODSIM2013, 20th International Congress on Modelling and Simulation (pp. 1475-1481). Australia: Modelling and Simulation Society of Australia and New Zealand.
2013 Ahamed, S., Piantadosi, J., Agrawal, M., & Boland, J. (2013). Generating synthetic rainfall using a disaggregation model. In J. Piantadosi, R. S. Anderssen, & J. Boland (Eds.), MODSIM2013, 20th International Congress on Modelling and Simulation (pp. 2506-2512). Australia: Modelling and Simulation Society of Australia and New Zealand.
2012 Boland, J., Korolkiewicz, M., Agrawal, M., & Huang, J. (2012). Forecasting solar radiation on short time scales using a coupled autoregressive and dynamical system (CARDS) model. In Proceedings of the 50th Annual Conference, Australian Solar Energy Society (Australian Solar Council) (pp. 1-10). Australia: Australian Solar Energy Society.
2010 Agrawal, M. R., Boland, J., & Ridley, B. (2010). Volatility of wind energy using high frequency data. In W. Assawinchaichote (Ed.), Proceedings of the international conference, modelling, identification and control (pp. 1-3). Canada: ACTA Press.
DOI Scopus3
2009 Boland, J., Ridley, B., & Agrawal, M. (2009). Modelling the conditional variance of windfarm output utilising realised volatility. In ISES Solar World Congress 2009 Vol. 1 (pp. 25-33). Germany: International Solar Energy Society.
Scopus4
2008 Kim, S. W., Hudson, I. L., Agrawal, M. R., & Keatley, M. (2008). Modelling and synchronization of four eucalypt species via MTD and EKF. In Proceedings of the 23rd International workshop on statistical modelling (pp. 287-292). Enschede: Ipskamp Partners.
  • Stage 4 - Economic Complexity Analysis, SA Dept of Innovation and Skills (formerly DSD), 01/06/2016 - 30/06/2017


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