Divyanshu Sood

About Divyanshu Sood

Divyanshu Sood, With an exceptional h-index of 4 and a recent h-index of 4 (since 2020), a distinguished researcher at University College Dublin, specializes in the field of Building Simulation, Urban Building Energy Modelling, Machine Learning, Data Science, GIS.

His recent articles reflect a diverse array of research interests and contributions to the field:

Urban Residential Building Stock Synthetic Datasets for Building Energy Performance Analysis

Urban building energy performance prediction and retrofit analysis using data-driven machine learning approach

Identification of influential factors for combined energy consumption and indoor environmental quality in residential buildings

Simulation-based evaluation of occupancy on energy consumption of multi-scale residential building archetypes

Zone-wise occupancy schedules developed using Time Use Survey data for building energy performance simulations

Residential building energy performance prediction at an urban scale using ensemble machine learning algorithms

Development of occupancy-based multi-scale building archetypes

Information modelling for urban building energy simulation—A taxonomic review

Divyanshu Sood Information

University

Position

PhD Student at

Citations(all)

120

Citations(since 2020)

120

Cited By

8

hIndex(all)

4

hIndex(since 2020)

4

i10Index(all)

3

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

Divyanshu Sood Skills & Research Interests

Building Simulation

Urban Building Energy Modelling

Machine Learning

Data Science

GIS

Top articles of Divyanshu Sood

Urban Residential Building Stock Synthetic Datasets for Building Energy Performance Analysis

Data in Brief

2024/2/28

Urban building energy performance prediction and retrofit analysis using data-driven machine learning approach

Energy and Buildings

2024/1/15

Identification of influential factors for combined energy consumption and indoor environmental quality in residential buildings

Journal of Physics: Conference Series

2023/11/1

Simulation-based evaluation of occupancy on energy consumption of multi-scale residential building archetypes

Journal of Building Engineering

2023/9/15

Zone-wise occupancy schedules developed using Time Use Survey data for building energy performance simulations

Data in Brief

2023/8/1

Residential building energy performance prediction at an urban scale using ensemble machine learning algorithms

2023/7/10

Development of occupancy-based multi-scale building archetypes

CLIMA 2022 conference

2022/5/19

Information modelling for urban building energy simulation—A taxonomic review

2022/1/15

Numerical analysis of an automobile cabin thermal management using passive phase change material

Thermal Science and Engineering Progress

2021/10/1

Divyanshu Sood
Divyanshu Sood

H-Index: 1

Dibakar Rakshit
Dibakar Rakshit

H-Index: 13

Development and performance analysis of pine needle based downdraft gasifier system

2021

Abhishek Agrawal
Abhishek Agrawal

H-Index: 21

Divyanshu Sood
Divyanshu Sood

H-Index: 1

Performance Analysis of Vacuum Insulation Panels Using Real Gas Equation for Mitigating Solar Heat Gain in Buildings

New Research Directions in Solar Energy Technologies

2021

Dynamic optimization of multi-retrofit building envelope for enhanced energy performance with a case study in hot Indian climate

Energy

2020/4/15

See List of Professors in Divyanshu Sood University(University College Dublin)

Co-Authors

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