Data-driven prediction of energy consumption of district cooling systems (DCS) based on the weather forecast data
Bibliographic Data
| ID | 21230486 |
|---|---|
| Authors | Xingwang Zhao (0000-0002-8994-9882, Southeast University), Yonggao Yin (0000-0003-1556-8574, Southeast University, corresponding author), Siyu Zhang (0000-0002-7739-033X, Southeast University), Guoying Xu (Southeast University) |
| Year | 2023 |
| Volume | 90 |
| Pages | 104382 |
| Publication date | 2023-03-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sustainable Cities and Society (JOURNAL) |
| Journal identifiers | ISSN: 2210-6707 • E-ISSN: 2210-6715 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.scs.2022.104382 |
| OpenAlex | W4313442586 |
| Language | EN |
| Citations received | 5 |
| References cited | 36 |
Air conditioning · Artificial neural network · Backpropagation · Data mining · Energy consumption · HVAC · Reliability engineering · Statistics · Building Energy and Comfort Optimization · Computer Science · Energy Load and Power Forecasting · Engineering · Mathematics · Wind and Air Flow Studies · Artificial Intelligence
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| Unique citing works | 5 |
|---|---|
| Citations per year | 1,67 |
| Citation span | 2023 - 2025 (3) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 5 |