Energy & Environmental Informatics


Energy and Environmental Analytics

Energy security and climate change are among the biggest challenges facing us today. We are working with both academic and industrial partners on projects looking for ICT based solutions to some of these problems.

The technological challenges that face both issues are not insignificant, from using smart meter data to detect faulty meters or energy theft to managing massive climate simulation ensembles to detect societal impact already underway from climate change.The EEI Research Group plays a key role in finding solutions for these problems and more through building Ecosystem and Energy Services.

Group members:

Professor David Wallom, Associate Professor
Dr Neil Caithness, Senior Researcher
Ramon Granell, Senior Research Associate
Sihan Li, climate prediction .net PDRA
Dr Mamun Rashid, climate prediction .net Research Computing Specialist
Dr Sarah Sparrow, climate prediction .net Applications Coordinator

Modelling retail store energy consumption for improved accuracy of consumption forecasting (WICKED project)

Climate modelling takes immense computational resources., the world's largest climate experiment, uses just standard PCs...

Whether you want to collaborate with us on an energy or climate based project, or just want to find out more, please get in touch!

Current Projects

"Long Term Undulations versus secular change in Chinese Climate" (LOTUS-China) is a three-year project tackling the overarching question "Why is climate changing in China and what are the implications for China's vulnerability to extremes"
Creating better climate models requires vast amounts of computing power. combines the power of thousands of ordinary computers, each tackling one small but key part of the problem.
The HAPPI project partners with climate modelling groups to undertake a series of experiments specifically designed to quantify the relative risks associated with 1.5°C and 2°C of warming, particularly focussing on extreme weather events.
Under this project we propose, for the first time, to apply a well-established large-ensemble methodology that allows explicit simulation of changing event probabilities to a global seasonal-forecast-resolution model.
Bangladesh is listed as one of the countries most vulnerable to climate change. This scoping project will develop the necessary framework to allow on demand, real-time attribution studies of floods in the Brahmaputra basin.
The objective of this exciting project is to develop an approach using meter system messages alongside meter consumption data to identifying potential energy theft and faulty equipment by examining changes in data through time.

Past Projects

The International Forest Risk Model (INFORM) is a platform to enable businesses, public procurers, and financial institutions to assess risk of exposure to deforestation through their purchases and supply chains.
EMPPACK (Energy Measurement and Profiling PACKage), is a flexible and extensible software framework for profiling, quantifying and analysing the energy and power consumption of software applications.
The Low Carbon ICT project will develop a 'wake-on-LAN' (WoL) service to reduce the University of Oxford’s carbon footprint that results from the operation of its ICT infrastructure.
Existing electricity distribution management systems (DMS) have been designed using operational and algorithmic procedures that are highly centralised.
Modern systems are increasingly energy efficient but carbon emissions, constantly increasing energy prices and recent changes in legislations drive a desire to minimise the overall energy consumption of computing.
“How complicated can, or should, a dynamic electricity tariff be?” ADEPT looks at how information smart meters might potentially be exploited to the advantage of both network operator & customer.
Many situations require traceable accuracy of data when it passes from the provider to different analysis communities. MyTrustedCloud is working with energy suppliers to construct a prototype of trust-capable cloud infrastructure