Journal Articles
Raza, Muhammad Qamar, Mithulananthan, N. and Summerfield, Alex (2018). Solar output power forecast using an ensemble framework with neural predictors and Bayesian adaptive combination. Solar Energy, 166, 226-241. doi: 10.1016/j.solener.2018.03.066
Raza, Muhammad Qamar, Mithulananthan, N., Li, Jiaming, Lee, Kwang Y. and Gooi, Hoay Beng (2018). An ensemble framework for day-ahead forecast of PV output in smart grids. IEEE Transactions on Industrial Informatics, 15 (8), 1-1. doi: 10.1109/tii.2018.2882598
Raza, Muhammad Qamar , Nadarajah, Mithulananthan and Ekanayake, Chandima (2017). Demand forecast of PV integrated bioclimatic buildings using ensemble framework. Applied Energy, 208, 1626-1638. doi: 10.1016/j.apenergy.2017.08.192
Raza, Muhammad Qamar, Nadarajah, Mithulananthan, Duong Quoc Hung and Baharudin, Zuhairi (2017). An intelligent hybrid short-term load forecasting model for smart power grids. Sustainable Cities and Society, 31, 264-275. doi: 10.1016/j.scs.2016.12.006
Raza, Muhammad Qamar, Nadarajah, Mithulananthan and Ekanayake, Chandima (2016). On recent advances in PV output power forecast. Solar Energy, 136, 125-144. doi: 10.1016/j.solener.2016.06.073
Jamil, Muhammad U., Kongprawechnon, Waree and Raza, Muhammad Q. (2016). Adaptive neural network based backstepping control design for MIMO nonlinear systems with actuator nonlinearities. Aircraft Engineering and Aerospace Technology, 88 (1), 137-150. doi: 10.1108/AEAT-09-2014-0150
Raza, Muhammad Qamar and Khosravi, Abbas (2015). A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings. Renewable and Sustainable Energy Reviews, 50, 1352-1372. doi: 10.1016/j.rser.2015.04.065
Conference Papers
Raza, Muhammad Qamar, Nadarajah, Mithulananthan and Ekanayake, Chandima (2018). A multivariate ensemble framework for short term solar photovoltaic output power forecast. 2017 IEEE Power and Energy Society General Meeting, Chicago, IL, United States, 16 - 20 July 2017. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/PESGM.2017.8274676
Raza, Muhammad Qamar and Nadarajah, Mithulananthan (2017). An intelligent multivariate ensemble forecast framework for PV output power forecast. Annual International Symposium on Forecasting, Cairns, QLD, Australia, 25 - 28 June 2017.
Raza, Muhammad Qamar, Nadarajah, Mithulananthan and Ekanayake, Chandima (2016). An improved neural ensemble framework for accurate PV output power forecast. 2016 Australasian Universities Power Engineering Conference, AUPEC 2016, Brisbane, QLD, Australia, 25 - 28 September 2016. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/AUPEC.2016.07749296
Raza, Muhammad Qamar, Nadarajah, Mithulananthan and Ekanayake, Chandima (2016). An improved WT and NN ensemble demand forecast model for PV integrated smart buildings. 2016 IEEE Innovative Smart Grid Technologies - Asia, ISGT-Asia 2016, Melbourne, Australia, 28 November - 1 December 2016. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ISGT-Asia.2016.7796484