Prediction of energy consumption in campus buildings using long short-term memory
In this paper, Long Short-Term Memory (LSTM) was proposed to predict the energy consumption of an institutional building. A novel energy usage prediction method was demonstrated for daily day-ahead energy consumption by using forecasted weather data. It used weather forecasting data from a local met...
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | en |
| Published: |
Elsevier B.V.
2022
|
| Online Access: | http://eprints.utem.edu.my/id/eprint/26375/2/Q1%20WOS%20JOURNAL.PDF http://eprints.utem.edu.my/id/eprint/26375/ https://www.sciencedirect.com/science/article/pii/S1110016822008006 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|