Publications

Books

This list is may not be up to date. Please refer to Google Scholar

  1. Muhammad Qamar Raza “Energy Forecasting”, In progress.

Edited book and we are expecting contribution of several authors, expert in their domain of energy forecasting.

Book Chapters

  1. M. Qamar Raza, M. Nadarajah “An Innovative Solar Output Forecast and Load Demand Forecast of PV Integrated Smart Buildings” IEEE-Wiley Application of Modern Heuristic Optimization Techniques in Power and Energy Systems, Edited by K. Y. Lee, 2016.

Journal Articles

* ERA (Excellence in Research for Australia Ranking), IF (Impact Factor)

  1. Muhammad Qamar Raza, Mithulananthan Nadarajah, A Comparative Analysis of Neural Ensemble Framework for PV Generation Forecast using Bayesian Adaptive Combination, In Solar Energy, Volume 136, 2016, Pages 125-144, ISSN 0038-092X. (Accepted) (ERA 2010 A, IF= 4.018). [PDF]

  2. Muhammad Qamar Raza, Mithulananthan Nadarajah, Chandima Ekanayake, Demand forecast of PV integrated bioclimatic buildings using ensemble framework," Applied Energy, vol. 208, pp. 1626-1638, 2017/12/15/ 2017. (ERA 2010 A*, IF= 7.18). [PDF]

  3. Muhammad Qamar Raza, Mithulananthan Nadarajah, Chandima Ekanayake, On recent advances in PV output power forecast, In Solar Energy, Volume 136, 2016, Pages 125-144, ISSN 0038-092X. (ERA 2010 A, IF= 4.018). [PDF]

  4. Muhammad Qamar Raza, Mithulananthan Nadarajah, Duong Quoc Hung, Zuhairi Baharudin, An intelligent hybrid short-term load forecasting model for smart power grids, Sustainable Cities and Society, Available online 25 December 2016, ISSN 2210-6707, ttp://dx.doi.org/10.1016/j.scs.2016.12.006. (ERA, IF=1.77) [PDF]

  5. Muhammad Qamar Raza, Abbas Khosravi, A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings, In Renewable and Sustainable Energy Reviews, Volume 50, 2015, Pages 1352-1372, (ERA, IF=8.05). [PDF]

  6. Muhammad Qamar Raza, Z. Baharudin, B. U. Islam, “Short Term Load Forecast Model for Anomalous Days Prediction Using Hybrid PSO Based Neural Network of Smart Grids” Electric Power Components and Systems. ISSN: 15325008, Taylor Francis. March 2014. (Accepted)(ISI/Scopus indexed, IF=0.62) [PDF]

  7. M. U. Jamil, W. Kongprawechnon, M. Qamar Raza, “Neural network based backstepping control design for MIMO nonlinear systems with Actuator Nonlinearities” an international journal aircraft engineering and aerospace technology, Emerald, 2015. (In Press, IF=0.352 ) [PDF]

  8. Muhammad Qamar Raza, Zuhairi Baharudin, Badar-Ul-Islam, Mohd. Azman Zakariya and Mohd Haris Md Khir, 2013. Neural Network Based STLF Model to Study the Seasonal Impact of Weather and Exogenous Variables. Research Journal of Applied Sciences, Engineering and Technology, 6(20): 3729-3735. (ISI/Scopus indexed) [PDF]

  9. Muhammad Qamar Raza, Z. Baharudin, Badar-Ul-Islam , “A Comparative Analysis of Neural Network based Short Term Load Forecast for Seasonal Prediction”. Australian Journal of Basic and Applied Sciences, (2013). ISSN 19918178. (ISI/Scopus indexed, JCR 0.16). [PDF]

  10. Muhammad Qamar Raza, Zuhairi Baharudin, Badar Ul Islam and Perumal Nallagownden, “A Comparative Analysis of Short Term Load Forecast Models Based on Neural Network with Weather Inputs for Anomalous Day” Journal of Computers (JCP, ISSN 1796-203X), 2013. (Accepted) (Scopus indexed) [PDF]

  11. Zuhairi Baharudin, Muhammad Qamar Raza, Mohd. Azman Zakariya and Mohd Haris Md Khir, 2013. AR-based Algorithms for Short Term Load Forecast. Research Journal of Applied Sciences, Engineering and Technology, 6(23): 3729-3735. (ISI/Scopus indexed) [PDF]

  12. Badar-Ul-Islam, Muhammad Qamar Raza, Mohd. Azman Zakariya and Mohd Haris Md Khir, 2013. “A Hybrid and Intelligent Input Variable Selection Technique for Neural Network Based Load Forecast“. Research Journal of Applied Sciences, Engineering and Technology, 6(24): 3729-3735. (ISI/Scopus indexed). [PDF]

Conference Publications

  1. Muhammad Qamar Raza, M. Nadarajah and C. Ekanayake, "A Multivariate Ensemble Framework for Short Term Solar Photovoltaic Output Power Forecast" 2017 IEEE Power & Energy Society General Meeting, July 16 to 20, 2017, Chicago, IL USA. [PDF]

  2. Muhammad Qamar Raza, M. Nadarajah, “A Novel framework for PV output Power Forecast” 37th International Symposium on Forecasting Cairns, Australia 2017. [PDF]

  3. Muhammad Qamar Raza, M. Nadarajah and C. Ekanayake, "An improved WT and NN ensemble demand forecast model for PV integrated smart buildings," 2016 IEEE Innovative Smart Grid Technologies - Asia (ISGT-Asia), Melbourne, VIC, 2016, pp. 781-786. doi: 10.1109/ISGT-Asia.2016.7796484. [PDF]

  4. M. Qamar Raza, M. Nadarajah and C. Ekanayake, "An improved neural ensemble framework for accurate PV output power forecast," 2016 Australasian Universities Power Engineering Conference (AUPEC), Brisbane, QLD, 2016, pp. 1-6. doi: 10.1109/AUPEC.2016.7749296. [PDF]

  5. Muhammad Qamar Raza; Z. Baharudin, Badar Ul Islam and Perumal Nallagownden “A Review of Artificial Neural Network Based Engergy Demand Forecasting Techniques for Smart Grids ," 4th International Symposium on Forecasting Rotterdam, The Netherlands, June 29 – July 2, 2014. [PDF]

  6. S. Hassan, A. Khosravi, J. Jaafar, M. Qamar Raza,"Electricity Load/Price Forecasting with Influential Factors using Neural Network" The 9th International System of Systems Engineering Conference, Adelaide, Australia, 2014. [PDF]

  7. Muhammad Qamar Raza, Z. Baharudin, "A review on short term load forecasting using hybrid neural network techniques," Power and Energy (PECon), 2012 IEEE International Conference on power system , Kota Kinabalu, Malaysia, 2-5 Dec. 2012 . [PDF]

  8. Muhammad Qamar Raza; Z. Baharudin, Badar Ul Islam and Perumal Nallagownden “A Hybrid Neural Network based Short Term Load Forecast Model with Weather Inputs," Annual Postgraduate Conference (APC 2013) , UTP, Malaysia, 10-11 May 2013. [PDF]

  9. Muhammad Qamar Raza, Zuhairi Baharudin, Badar Ul Islam and Perumal Nallagownden “A Comparative Analysis of Short Term Load Forecast Models Based on Neural Network with Weather Inputs for Anomalous Day” The 2nd International Conference on Network, Communication and Computing (ICNCC 2013) KL, Malaysia, December29 - 30, 2013. [PDF]

  10. Muhammad Qamar Raza, Zuhairi Baharudin, Badar Ul Islam and Perumal Nallagownden “A Comparative Analysis of PSO and LM Based NN Short Term Load Forecast with Exogenous Variables for Smart Power Generation ” The 5th International Conference on Intelligent and Advance Systems (ICIAS 2014), Kuala Lumpur, Malaysia. [PDF]

  11. B. Islam, Z. Baharudin, P. Nallagownden, M. Q. Raza, “Hybrid and Integrated Intelligent System for Load Demand Prediction," IEEE 7th International Power Engineering and Optimization Conference (PEOCO2013), 2013 Langkawi, Malaysia. [PDF]

  12. B. Islam, Z. Baharudin, P. Nallagownden, M. Q. Raza “Optimization of Neural Network Architecture Using Genetic Algorithm For Load Forecasting” The 5th International Conference on Intelligent and Advance Systems (ICIAS 2014), Kuala Lumpur, Malaysia. [PDF]

  13. B. Islam ,M. Q. Raza, Baharudin, Z., " Hybrid and Integrated Intelligent System for Load Demand Prediction," 2013 IEEE 7th International Power Engineering and Optimization Conference (PEOCO2013), Langkawi, Malaysia. [PDF]

  14. Muhammad Qamar Raza, M Usman Haider, S. Muhammad ali, “Demand and response in Smart grids for Modern power system” IEEE world congress of engineering Shanghai, China 2011. [PDF]

  15. Muhammad Qamar Raza, S. Muhammad ali , Assad Ullah “Intelligent load shedding using TCP/Ip for Smart grid” IEEE world congress of engineering Shanghai, China 2011. [PDF]

  16. Muhmmad Qamar Raza, S Muhammad ali, Azzam-ul-Asar, Muhammad Usman haider “Overview of major prospectus of Micro-grids in modern power system” International on conference Power generation and Renewable energy technologies Pakistan December, 2010. [PDF]

  17. Muhammad Usamn haider, Muhmmad Qamar Raza, Fahad saleem “Sustainable Energy Development & Linking Renewable Energy Resources for Pakistan” International on conference Power generation and Renewable energy technologies Pakistan December, 2010. [PDF]

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