Efficacy of historical context and exogenous features on deep learning for cooling load forecasting in chilled water plants.
Saved in:
| Title: | Efficacy of historical context and exogenous features on deep learning for cooling load forecasting in chilled water plants. |
|---|---|
| Authors: | Ulfath RE; School of Engineering, RMIT University, Melbourne, Australia. rubaiath.e.ulfath@rmit.edu.au., Cheng CT; School of Engineering, RMIT University, Melbourne, Australia., Pang TY; School of Engineering, RMIT University, Melbourne, Australia., Stewart I; Exergenics, Melbourne, Australia. |
| Source: | Scientific reports [Sci Rep] 2026 Jul 01. Date of Electronic Publication: 2026 Jul 01. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 2045-2322 |
|---|---|
| DOI: | 10.1038/s41598-026-59706-1 |
