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 consumption forecasting
Showing results 1 to 2 of 2
| Issue Date | Title | Author(s) |
|---|---|---|
| 8-Jul-2025 | Adaptive electricity consumption forecasting approach for universal environments | Zhou, S; Ni, S; Han, Y; Dong, Z; Lai, CS |
| 2-Sep-2025 | GridNet: A Hybrid LSTM-Based Deep Learning Approach for Accurate Electricity Consumption Forecasting in Smart Grid Systems | Alazemi, T; Darwish, M; Zubair, M |