Research output per year
Research output per year
Personal profile
Education/Academic qualification
Electrical and Electronic Engineering, PhD, Energy management and controlling of microgrid using improved and enhanced model predictive control, Newcastle University
23 Sept 2019 → 21 Sept 2023
Award Date: 2 Jul 2024
Electrical and Electronic Engineering, MSc, Renewable Energy, Newcastle University
1 Sept 2018 → 18 Sept 2019
Award Date: 30 Aug 2019
Mechanical Engineering, BEng (Hons), Karadeniz Technical University
23 Sept 2009 → 21 Jun 2014
Award Date: 2 Jun 2014
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Dive into the research topics where Muhammed Cavus is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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A physics-informed machine learning framework for climate-aware digital twins in decentralised energy systems
Cavus, M., Jiang, J., Allahham, A. & Sun, H., 1 Aug 2026, In: Applied Energy. 416, 24 p., 128013.Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Citations (Scopus)29 Downloads (Pure) -
Deep charge-fusion model: Advanced hybrid modelling for predicting electric vehicle charging patterns with socio-demographic considerations
Cavus, M., Ayan, H., Bell, M., Oyebamiji, O. K. & Dissanayake, D., 1 Jun 2026, In: International Journal of Transportation Science and Technology. 22, p. 37-60 24 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile11 Citations (Scopus)65 Downloads (Pure) -
Deep Multi-Task Forecasting of Net-Load and EV Charging with a Residual-Normalised GRU in IoT-Enabled Microgrids
Cavus, M., Jiang, J. & Allahham, A., 7 Jan 2026, In: Energies. 19, 2, 27 p., 311.Research output: Contribution to journal › Article › peer-review
Open AccessFile11 Citations (Scopus)1 Downloads (Pure) -
Digital twins for hazard-resilient power grids: A systematic review and roadmap
Cavus, M., Jiang, J., Allahham, A., Rameshrao, A. G., Scullion, E., Malamud, B. D., Sun, H. & Ng, W. P., 1 Jul 2026, In: Renewable and Sustainable Energy Reviews. 235, p. 1-18 18 p., 116947.Research output: Contribution to journal › Review article › peer-review
Open AccessFile17 Downloads (Pure) -
KASVA: A Variational Deep Learning Framework for Measuring Regional Sustainability and Inequality
Celiktas, C. F., Cure, F. & Cavus, M., 12 Feb 2026, In: Sustainability. 18, 4, 28 p., 1911.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Downloads (Pure)