Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Browsing by Subject electricity demand
Showing results 1 to 3 of 3
| Issue Date | Title | Author(s) |
|---|---|---|
| 24-Jul-2020 | Modelling Energy Demand Response Using Long-Short Term Memory Neural Networks | Mesa Jimenez, JJ; Stokes, L; Yang, Q; Livina, VN |
| 28-Sep-2022 | A reduced-dimension feature extraction method to represent retail store electricity profiles | Granell, R; Axon, CJ; Kolokotroni, M; Wallom, DCH |
| 31-Dec-2015 | Review of UK domestic electricity consumption and potential trends in using renewable energy sources and plug-in hybrid electrical vehicles | Sheboniea, MA; Darwish, MK; Janbey, A |