University Researcher
Waqas Khan
ACADEMIC BACKGROUND
Waqas Khan obtained his Master in Energy Informatics from University of Applied Sciences Upper Austria. He completed his Master thesis project on the topic "Non Intrusive Load monitroing using Artificial Neural Network and Stockwell Transform". He won the National ICT R&D scholarship and completed his Bachelors of Science in Electrical (Telecom) Engineering from Comsats Univeristy Islamabad.
Recent Publications
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Waqas Khan
Uncertainty analysis and management in building energy data mining
(2023) -
Waqas Khan,Shalika S.W. Walker,Wim Zeiler
A bottom-up framework for analysing city-scale energy data using high dimension reduction techniques
Sustainable Cities and Society (2023) -
Waqas Khan,Juo Yu Liao,Shalika S.W. Walker,Wim Zeiler
Impact assessment of varied data granularities from commercial buildings on exploration and learning mechanism
Applied Energy (2022) -
Waqas Khan,Kevin F.M. de Bont,Wim Zeiler
Individual EV load profiling and smart charging to flatten total electricity demand
(2022) -
Waqas Khan,Shalika Walker,Wim Zeiler
Improved solar photovoltaic energy generation forecast using deep learning-based ensemble stacking approach
Energy (2022)
Current Educational Activities
Ancillary Activities
No ancillary activities