SAVE: Solent Achieving Value through Efficiency
- Homepage
- http://www.energy.soton.ac.uk/tag/save/
- Started
- 5th May 2014
- Ended
- 28th June 2019
- Research Team
- Luke Blunden
- Investigators
- Patrick James, Ben Anderson
SAVE logo
Analysis of 15 minute electricity consumption and 10 second instantaneous power data from 4,000+ households in the Solent region collected over 3 years of a randomised control trial study.
Categories
Physical Systems and Engineering simulation: Data Acquisition, Energy
Socio-technological System simulation: Built Environment
Algorithms and computational methods: Multi-core
Visualisation and data handling methods: Data Aggregation, Data Management
Software Engineering Tools: Git, RStudio
Programming languages and libraries: R
Computational platforms: Iridis, Linux, Mac OS X
Transdisciplinary tags: Computational Social Science, Data Science, Demand Response, Visualisation