Profil

ARABZADEH Vahid

University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Ubiquitous and Intelligent Systems (UBI-X)

ORCID
0009-0001-5032-0817
Main Referenced Co-authors
FRANK, Raphaël  (5)
Main Referenced Keywords
Behavioral Nudging (1); Deep learning, Renewable energy generation, Multi step ahead forecasting (1); domain-specific XAI (1); energy efficiency strategies (1); Energy Performance Gap (1);
Main Referenced Disciplines
Energy (4)
Computer science (1)

Publications (total 5)

The most downloaded
213 downloads
ARABZADEH, V., & FRANK, R. (2024). Creating a Renewable Energy-Powered energy system: Extreme scenarios and Novel Solutions for Large-Scale renewable power Integration. Applied Energy. doi:10.1016/j.apenergy.2024.124088 https://hdl.handle.net/10993/61778

The most cited

27 citations (Scopus®)

ARABZADEH, V., & FRANK, R. (2024). Creating a Renewable Energy-Powered energy system: Extreme scenarios and Novel Solutions for Large-Scale renewable power Integration. Applied Energy. doi:10.1016/j.apenergy.2024.124088 https://hdl.handle.net/10993/61778

ARABZADEH, V., & FRANK, R. (2025). A Simple Physics-Informed Assessment of Smart Thermostat Strategies for Luxembourg’s Single-Family Homes. Smart Cities. doi:10.3390/smartcities8060203
Peer Reviewed verified by ORBi

ARABZADEH, V., & FRANK, R. (25 November 2025). A Four-Dimensional Analysis of Explainable AI in Energy Forecasting: A Domain-Specific Systematic Review. Machine Learning and Knowledge Extraction, 7 (4), 153. doi:10.3390/make7040153
Peer Reviewed verified by ORBi

ARABZADEH, V., & FRANK, R. (26 September 2025). Stochastic Markov-Based Modelling of Residential Lighting Demand in Luxembourg: Integrating Occupant Behavior and Energy Efficiency. Energies, 18 (19), 5133. doi:10.3390/en18195133
Peer Reviewed verified by ORBi

ARABZADEH, V., & FRANK, R. (2024). Creating a Renewable Energy-Powered energy system: Extreme scenarios and Novel Solutions for Large-Scale renewable power Integration. Applied Energy. doi:10.1016/j.apenergy.2024.124088
Peer Reviewed verified by ORBi

ARABZADEH, V., & FRANK, R. (2024). Forecasting hybrid renewable power generation in Luxembourg: a comparative study of convolutional neural network’s application [Paper presentation]. 2024 IEEE 15th International Symposium on Power Electronics for Distributed Generation Systems, Luxembourg, Luxembourg. doi:10.1109/PEDG61800.2024.10667367
Peer reviewed

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