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Nashwan Dawood

Teesside University

Middlesbrough, TS1 3BA

United Kingdom

  • Teesside University

SCHOLARLY PAPERS

6

DOWNLOADS

337

TOTAL CITATIONS

1

Scholarly Papers (6)

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1.

Cluster-Based Automation for Data Segmentation in Predicting Building Energy Use - a Comparative Study

Downloads 78 (816,709)

Cluster-Based Automation for Data Segmentation in Predicting Building Energy Use - a Comparative Study

Number of pages: 40 Posted: 17 Jan 2025
William Mounter, Chris Ogwumike, Huda Dawood and Nashwan Dawood
Teesside University, Teesside University, Teesside University and Teesside University
Downloads 45 (1,144,483)

Abstract:

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Data Segmentation, Artificial Neural Network, Clustering, Building Energy Use, Machine learning, Forecasting

Cluster-Based Automation for Data Segmentation in Predicting Building Energy Use - a Comparative Study

Number of pages: 39 Posted: 21 Nov 2024
William Mounter, Chris Ogwumike, Huda Dawood and Nashwan Dawood
Teesside University, Teesside University, Teesside University and Teesside University
Downloads 33 (1,311,254)

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data Segmentation, artificial neural network, clustering, building energy use, Machine Learning, forecasting

2.

IDRIC Frontiers Report: Electrification

Number of pages: 25 Posted: 29 Oct 2025
Jonathan W. Radcliffe, Janie Ling Chin, Tony Roskilly, Huda Dawood, Nashwan Dawood, Abubakr Ayub, Kumar Patchigolla, Isobel Marr and Anna Pultar
University of Birmingham, Durham University, Durham University, Teesside University, Teesside University, Teesside University, Teesside University, Heriot-Watt University and affiliation not provided to SSRN
Downloads 64 (942,565)

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industrial decarbonisation, electrification, net zero

3.

IDRIC Frontiers Report: Systems Planning and Decision-Making Tools

Number of pages: 26 Posted: 16 Dec 2025
Neha Mehta, Janie Ling Chin, Ugochukwu Ngwaka, Tony Roskilly, Susana Garcia, Isobel Marr, Mijndert Van der Spek, Nadine Moustafa, Jonathan W. Radcliffe, Stavros Michailos, Matthew J. Hobbs, Huda Dawood, Nashwan Dawood and Dawid P. Hanak
University of Birmingham, Durham University, Durham University, Durham University, Heriot-Watt University, Heriot-Watt University, Heriot Watt University, Imperial College London - Department of Chemical Engineering, University of Birmingham, University of Hull, affiliation not provided to SSRN, Teesside University, Teesside University and Teesside University - Net Zero Industry Innovation Centre
Downloads 61 (980,173)

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industrial decarbonisation, systems planning, artificial intelligence (AI), net zero, decision-making tools

4.

IDRIC Frontiers Report: Industrial Heat and Energy Efficiency

Number of pages: 31 Posted: 13 Nov 2025
Janie Ling Chin, Tony Roskilly, Amir Badiee, Huda Dawood, Nashwan Dawood, Kumar Patchigolla, Abubakr Ayub, Jonathon Elvins, Yannis Hardalupas, Andy Heeley, Richard Marsh, Agustin Valera-Medina, Isobel Marr, Neha Mehta, Jonathan W. Radcliffe, Tongtong Zhang, Binjian Nie, Huashan Bao, Ugochukwu Ngwaka, Sumit Roy and Richard Williams
Durham University, Durham University, University of Lincoln (UK), Teesside University, Teesside University, Teesside University, Teesside University, Swansea University, Imperial College London - Department of Mechanical Engineering, University of Sheffield, Cardiff University, Cardiff University, Heriot-Watt University, University of Birmingham, University of Birmingham, University of Birmingham, University of Oxford, Durham University, Durham University, Durham University and Durham University
Downloads 52 (1,041,696)

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5.

Stack-AttenLSTM: A Surrogate Deep Learning Model for Sequential Earthquake-Flood Vulnerability Assessment of Steel Buildings

Number of pages: 38 Posted: 21 Oct 2025
DELBAZ Samadian, Annalisa Occhipinti, Imrose Bin Muhit and Nashwan Dawood
Teesside University, Teesside University, affiliation not provided to SSRN and Teesside University
Downloads 43 (1,145,425)
Citation 1

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Multi-hazard, LSTM, NLTHA, steel buildings, Surrogate Models

6.

Enhancing Efficiency in Residential Retrofitting: A Comprehensive Evaluation of Key Performance Indicators Using the Correlation Coefficient/Ahp Hybrid Model

Number of pages: 31 Posted: 18 Apr 2024
Elena Imani, Huda Dawood, Annalisa Occhipinti and Nashwan Dawood
Teesside University, Teesside University, Teesside University and Teesside University
Downloads 39 (1,209,354)

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Energy Efficiency, Residential Buildings, Data analysis, CO2 Emissions, Decision-Making in Retrofitting, Retrofitting solution Optimization.