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Reham Alasmar

University College London - Institute for Environmental Design and Engineering

United Kingdom

http://https://profiles.ucl.ac.uk/79917-reham-alasmar

  • University College London - Institute for Environmental Design and Engineering

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    • Tel: +447591181162
SCHOLARLY PAPERS

4

DOWNLOADS

412

TOTAL CITATIONS

0

Scholarly Papers (4)

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1.

Predicting the Wholesale Electricity Pricing in Germany Using Weather and Renewable Energy Variables

Number of pages: 17 Posted: 20 Feb 2025
Sayonika Debroy, Ikram Ahmed, Peace Kokoricha, Xiaodi Lu, Lanyu Zhang, Yingling Chen, Aidan O'Sullivan, Reham Alasmar and Amir Gharavi
University College London - UCL Energy Institute, University College London - UCL Energy Institute, University College London - UCL Energy Institute, University College London - UCL Energy Institute, University College London - UCL Energy Institute, University College London - UCL Energy Institute, University College London - UCL Energy Institute, University College London - Institute for Environmental Design and Engineering and University College London - UCL Energy Institute
Downloads 173 (467,092)

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Electricity Price Forecast, Machine Learning, Predictive Models, Renewable Energy, Electricity Markets

2.

Evaluating the Energy Performance, Adaptive Reuse and Circularity of Historic Buildings: A Case Study of Turkiye

Number of pages: 15 Posted: 29 Mar 2024
Reham Alasmar, Merve Anaç and Merve Karabeyeser Bakan
University College London - Institute for Environmental Design and Engineering, Hasan Kalyoncu University and University College London
Downloads 96 (715,072)

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Historical buildings, Energy efficiency, Thermal comfort, adaptive reuse

3.

Predicting Grid Constraints Across Scottish Transmission Boundaries

Number of pages: 21 Posted: 18 Feb 2025
Rocco Fiori, Xiaojing Zhang, Ruifeng Li, William Stevens, Damian Anand, Luke Wickenden, Aidan O'Sullivan, Reham Alasmar and Amir Gharavi
University College London - UCL Energy Institute, University College London - UCL Energy Institute, University College London - UCL Energy Institute, University College London - UCL Energy Institute, University College London - UCL Energy Institute, University College London - UCL Energy Institute, University College London - UCL Energy Institute, University College London - Institute for Environmental Design and Engineering and University College London - UCL Energy Institute
Downloads 95 (742,061)

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Electricity efficiency, Machine Learning, Regression model, Smart Grid

4.

Explainable Machine Learning for Tight Sandstone Reservoirs: A Zonal Shap and Domain-Guided Eda Framework for Productivity Classification

Number of pages: 44 Posted: 27 Jun 2025
Amir Gharavi, Aidan O'Sullivan, Malik Haddad, Mohamed Hassan Sayed, Reham Alasmar, Paria Yousefi and Salam Al-Saegh
University College London - UCL Energy Institute, University College London - UCL Energy Institute, Techtrials Healthcare - Data Science, University of Southampton, University College London - Institute for Environmental Design and Engineering, Scientific and Technological Research Council of Turkey (TUBITAK) - Energy Institute and University College London
Downloads 48 (1,109,210)

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Tight sandstone reservoirs, Explainable AI, SHAP, Exploratory Data Analysis (EDA), Machine Learning, Reservoir Productivity