Smart Systems and Energy Informatics Research Group

Organization profile

Profile Information

The Smart Energy Systems and Energy Informatics Research Group carries out a range of research and enterprise activities centred around the themes of intelligent sensing, control and informatics for energy-related applications. Focus areas of research include applications of Information Modelling, Machine Learning and Optimization for smart grid and the built environment. The research interests and backgrounds of staff members are multi-disciplinary and varied in nature, and include specialisms in construction, control and instrumentation, power systems, artificial intelligence and ICT. The work of the group has been underpinned by numerous EU H2020 research grants and UK/Overseas Government investments, and research outputs have been recognised as world-leading or internationally excellent in terms of quality and impact.

Fingerprint The fingerprint is based on mining the text of the scientific documents related to the associated persons. Based on that an index of weighted terms is created, which defines the key subjects of research unit

Creep Engineering & Materials Science
Planning Engineering & Materials Science
Industry Engineering & Materials Science
Precast concrete Engineering & Materials Science
Electricity Engineering & Materials Science
Pulverized fuel Engineering & Materials Science
Scheduling Engineering & Materials Science
Water Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2018 2023

Research Output 2000 2019

A combined model for PV system lifetime energy prediction and annual energy assessment

Georgitsioti, T., Pearsall, N., Forbes, I. & Pillai, G., 1 May 2019, In : Solar Energy. 183, p. 738-744 7 p.

Research output: Contribution to journalArticleResearchpeer-review

Degradation
Potential energy
Sensitivity analysis
Economics
Uncertainty
18 Downloads (Pure)

Capacitive Touch Panel with Low Sensitivity to Water Drop employing Mutual-coupling Electrical Field Shaping Technique

Zhong, L., Lai, X., Xu, D., Liao, X., Yang, C., Fang, Z. & Zheng, Y., 1 Apr 2019, In : IEEE Transactions on Circuits and Systems I: Regular Papers. 66, 4, p. 1393-1404 12 p., 8544017.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
File
Water
Capacitance
Experiments

Decentralised Energy Optimisation For Blocks of Buildings

Williams, S., Short, M. & Crosbie, T., 15 Mar 2019. 6 p.

Research output: Contribution to conferencePaperResearchpeer-review

Learning systems
Power plants
Costs
Hot Temperature

Press / Media

Great place for me

Nashwan Dawood

12/04/13

1 item of media coverage

Press/Media: Press / Media

BIM around the world - country by country

Nashwan Dawood

1/03/15

1 item of media coverage

Press/Media: Press / Media

Knowledge Transfer Partnership announced with Hodgson Sayers

Nashwan Dawood

2/04/15

1 item of media coverage

Press/Media: Press / Media