Dr Muhammad Waseem Ahmad
School of Civil Engineering and Built Environment
Email address: M.W.Ahmad@ljmu.ac.uk
Telephone: 0151 904 6094
Languages
Urdu
English
Panjabi; Punjabi
Pushto; Pashto
Degrees
2013, Loughborough University, United Kingdom, PhD
2009, Loughborough University, United Kingdom, MSc, Building Services Engineering
2007, University of Engineering and Technology Peshawar, Pakistan, BSc (with Hons.), Mechanical Engineering
Highlighted publications
Reynolds J, Ahmad MW, Rezgui Y, Hippolyte J-L. 2019. Operational supply and demand optimisation of a multi-vector district energy system using artificial neural networks and a genetic algorithm Applied Energy, 235 :699-713 DOI
Ahmad MW, Mourshed M, Rezgui Y. 2018. Tree-based ensemble methods for predicting PV power generation and their comparison with support vector regression Energy, 164 :465-474
Ahmad MW, Mourshed M, Rezgui Y. 2017. Trees vs Neurons: Comparison between random forest and ANN for high-resolution prediction of building energy consumption Energy and Buildings, 147 :77-89
Ahmad MW, Mourshed M, Mundow D, Sisinni M, Rezgui Y. 2016. Building energy metering and environmental monitoring–A state-of-the-art review and directions for future research Energy and Buildings, 120 :85-102
Journal article
Abbasi MH, Abdullah B, Ahmad MW, Rostami A, Cullen J. 2021. Heat transition in the European building sector: Overview of the heat decarbonisation practices through heat pump technology Sustainable Energy Technologies and Assessments, 48 DOI Publisher Url Public Url
Alelwani R, Ahmad MW, Rezgui Y. 2020. Public Perception of Vernacular Architecture in the Arabian Peninsula: The Case of Rawshan Buildings, 10 :151-151 DOI Author Url Publisher Url Public Url
Reynolds J, Ahmad MW, Rezgui Y, Hippolyte J-L. 2019. Operational supply and demand optimisation of a multi-vector district energy system using artificial neural networks and a genetic algorithm Applied Energy, 235 :699-713 DOI
Ahmad M, Mouraud A, Rezgui Y, Mourshed M. 2018. Deep highway networks and tree-based ensemble for predicting short-term building energy consumption Energies, 11 DOI Publisher Url Public Url
Ahmad MW, Reynolds J, Rezgui Y. 2018. Predictive modelling for solar thermal energy systems: A comparison of support vector regression, random forest, extra trees and regression trees Journal of Cleaner Production, 203 :810-821 DOI
Ahmad MW, Mourshed M, Rezgui Y. 2018. Tree-based ensemble methods for predicting PV power generation and their comparison with support vector regression Energy, 164 :465-474
Reynolds J, Ahmad MW, Rezgui Y. 2018. Holistic modelling techniques for the operational optimisation of multi-vector energy systems Energy and Buildings, 169 :397-416 DOI
Ahmad MW, Mourshed M, Rezgui Y. 2017. Trees vs Neurons: Comparison between random forest and ANN for high-resolution prediction of building energy consumption Energy and Buildings, 147 :77-89
Ahmad MW, Mourshed M, Mundow D, Sisinni M, Rezgui Y. 2016. Building energy metering and environmental monitoring–A state-of-the-art review and directions for future research Energy and Buildings, 120 :85-102
Ahmad MW, Mourshed M, Yuce B, Rezgui Y. 2016. Computational intelligence techniques for HVAC systems: A review Building Simulation, 9 :359-398
Mambo DA, Eftekhari MM, Steffen T, Ahmad MW. 2015. Designing an occupancy flow-based controller for airport terminals Building Services Engineering Research and Technology, 36 :51-66
Ahmad MW, Eftekhari M, Steffen T, Danjuma AM. 2013. Investigating the performance of a combined solar system with heat pump for houses Energy and Buildings, 63 :138-146
Conference publication
Alelwani R, Ahmad M, Rezgui Y, Kwan A. 2019. Rawshan: Environmental Impact of a Vernacular Shading Building Element in Hot Humid Climates 2019 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC), :1-6
Ahmad MW, Reynolds J, Hippolyte J-L, Rezgui Y, Descamps MN, Merckx C, van Dessel J, Lessinnes M. 2018. A Real-Time Energy Management Platform for Multi-vector District Energy Systems Working Conference on Virtual Enterprises, :560-568
Reynolds J, Ahmad MW, Rezgui Y. 2018. District Heating Energy Generation Optimisation Considering Thermal Storage 2018 IEEE International Conference on Smart Energy Grid Engineering (SEGE), :330-335
Ahmad MW, Hippolyte J-L, Mourshed M, Rezgui Y. 2017. Random Forests and Artificial Neural Network for Predicting Daylight Illuminance and Energy Consumption Building Simulation 2017,
Ahmad M, Hippolyte J-L, Reynolds J, Mourshed M, Rezgui Y. 2016. Optimal scheduling strategy for enhancing IAQ, visual and thermal comfort using a genetic algorithm
Ahmad MW, Hippolyte J-L, Reynolds J, Mourshed M, Rezgui Y. 2016. Optimal scheduling strategy for enhancing IAQ, thermal comfort and visual using a genetic algorithm Iaq 2016 De,
Ahmad M, Mourshed M, Hippolyte J-L, Rezgui Y, Li H. 2015. Optimising the scheduled operation of window blinds to enhance occupant comfort
Ahmad MW, Eftekhari M, Steffen T, Rowley P. 2014. The effect of model and objective function mismatch in model predictive control (MPC) for a solar heating system with a heat pump 2014 UKACC International Conference on Control (CONTROL), :685-690
Thesis/Dissertation
Ahmad MW. 2013. Advanced control strategies for optimal operation of a combined solar and heat pump system