David C. H. Wallom

David C. H. Wallom

University of Oxford

H-index: 40

Europe-United Kingdom

About David C. H. Wallom

David C. H. Wallom, With an exceptional h-index of 40 and a recent h-index of 24 (since 2020), a distinguished researcher at University of Oxford, specializes in the field of Energy and Environmental Informatics, Cloud Computing, Cybersecurity, e-Infrastructure.

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

Assessing long-term future climate change impacts on extreme low wind events for offshore wind turbines in the UK exclusive economic zone

Load Profile Forecasting of Small and Medium-sized Businesses For Flexibility Programs

Integrated post-occupancy evaluation and intervention that achieve real-world zero-carbon buildings

Digital twin based reinforcement learning for extracting network structures and load patterns in planning and operation of distribution systems

Change in cooling degree days with global mean temperature rise increasing from 1.5° C to 2.0° C

Local Energy Markets: From Concepts to Reality

The Long-Term Impact of Climate Change on Future UK Offshore Wind Operations

Optimising multi-factor assistance in a deep learning-based electricity forecasting model with climate resilience: an Australian case study

David C. H. Wallom Information

University

Position

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Citations(all)

11785

Citations(since 2020)

3371

Cited By

8410

hIndex(all)

40

hIndex(since 2020)

24

i10Index(all)

84

i10Index(since 2020)

45

Email

University Profile Page

University of Oxford

Google Scholar

View Google Scholar Profile

David C. H. Wallom Skills & Research Interests

Energy and Environmental Informatics

Cloud Computing

Cybersecurity

e-Infrastructure

Top articles of David C. H. Wallom

Title

Journal

Author(s)

Publication Date

Assessing long-term future climate change impacts on extreme low wind events for offshore wind turbines in the UK exclusive economic zone

Applied Energy

Sara Abdelaziz

Sarah N Sparrow

Weiqi Hua

David CH Wallom

2024/1/15

Load Profile Forecasting of Small and Medium-sized Businesses For Flexibility Programs

Maitha Al Shimmari

Jan-Peter Calliess

David Wallom

2024/1/8

Integrated post-occupancy evaluation and intervention that achieve real-world zero-carbon buildings

Energy and Buildings

Jesus Lizana

Scot Wheeler

Elnaz Azizi

Claire Halloran

Jonathan Wheeler

...

2024/1/15

Digital twin based reinforcement learning for extracting network structures and load patterns in planning and operation of distribution systems

Applied Energy

Weiqi Hua

Bruce Stephen

David CH Wallom

2023/7/15

Change in cooling degree days with global mean temperature rise increasing from 1.5° C to 2.0° C

Nature Sustainability

Nicole D Miranda

Jesus Lizana

Sarah N Sparrow

Miriam Zachau-Walker

Peter AG Watson

...

2023/11

Local Energy Markets: From Concepts to Reality

Scot Wheeler

Filiberto Fele

Masaō Ashtine

Thomas Morstyn

David Wallom

...

2023/2/14

The Long-Term Impact of Climate Change on Future UK Offshore Wind Operations

Available at SSRN 4569920

Sara Abdelaziz

Sarah N Sparrow

Weiqi Hua

David Wallom

2023/4/30

Optimising multi-factor assistance in a deep learning-based electricity forecasting model with climate resilience: an Australian case study

Weijia Yang

Sarah N Sparrow

David CH Wallom

2023/10/23

Corrections & amendments

Lei Yu

Marina Khachaturyan

Michael Matschiner

Adam Healey

Diane Bauer

...

2023

A generalised multi-factor deep learning electricity load forecasting model for wildfire-prone areas

arXiv preprint arXiv:2304.10686

Weijia Yang

Sarah N Sparrow

David CH Wallom

2023/4/21

An analytical method for sizing energy storage in microgrid systems to maximize renewable consumption and minimize unused storage capacity

Journal of Energy Storage

Han Kun Ren

Masaō Ashtine

Malcolm McCulloch

David Wallom

2023/9/15

Detecting smart meter false data attacks using hierarchical feature clustering and incentive weighted anomaly detection

IET Cyber‐Physical Systems: Theory & Applications

Martin Higgins

Bruce Stephen

David Wallom

2023/5/9

Stretched grid? Managing data center energy demand and grid capacity

Oxford Open Energy

David Mytton

Masaō Ashtine

Scot Wheeler

David Wallom

2023

Future Climate Change Impact On Wind Gust For Offshore Wind Turbines Cut-Out Within The UK Exclusive Economic Zone

Sara Abdelaziz

Sarah N Sparrow

Weiqi Hua

David Wallom

2023/4/19

Spatial-Temporal Anomaly Detection for Sensor Attacks in Autonomous Vehicles

Martin Higgins

Devki Jha

David Wallom

2023/8/28

Time-Series Clustering Of UK Non-domestic Consumers For Demand Response Aggregators

Maitha Al Shimmari

Jan-Peter Calliess

David Wallom

2023/11/21

Changes in Cooling Degree Days (CDD) between the 1.5 ºC and 2.0 ºC global warming scenarios

ND Miranda

J Lizana

SN Sparrow

DCH Wallom

M Zachau-Walker

...

2023

Impacts of building load dispersion level on its load forecasting accuracy: Data or algorithms? Importance of reliability and interpretability in machine learning

Energy and Buildings

Maomao Hu

Bruce Stephen

Jethro Browell

Stephen Haben

David CH Wallom

2023/4/15

Extreme Wind Gust Impact on UK Offshore Wind Turbines: Long-Term Return Level Estimation

Sara Abdelaziz

Sarah N Sparrow

Weiqi Hua

David Wallom

2023/7/16

Demand Response Analytical Framework for Assessing Programme Applicability across Countries

Katya DO Soegiharto

David CH Wallom

2023/11/21

See List of Professors in David C. H. Wallom University(University of Oxford)

Co-Authors

H-index: 138
Mark Ellisman

Mark Ellisman

University of California, San Diego

H-index: 122
Brian Foster

Brian Foster

University of Oxford

H-index: 64
David De Roure

David De Roure

University of Oxford

H-index: 56
Friederike E. L. Otto

Friederike E. L. Otto

University of Oxford

H-index: 53
Philip Mote

Philip Mote

Oregon State University

H-index: 44
Daniel S. Katz

Daniel S. Katz

University of Illinois at Urbana-Champaign

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