Meta-regression framework for energy consumption prediction in a smart city
A case study of Songdo in South Korea
Bibliographic Data
| ID | 19036130 |
|---|---|
| Authors | Berny Carrera (0000-0002-9870-3809, Incheon National University), Suzanne Peyrard (Centre National de la Recherche Scientifique), Kwanho Kim (0000-0003-1504-8667, Incheon National University, corresponding author) |
| Year | 2021 |
| Volume | 72 |
| Pages | 103025-103025 |
| Publication date | 2021-05-15 |
| 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.2021.103025 |
| OpenAlex | W3161610785 |
| Language | EN |
| Citations received | 7 |
| References cited | 35 |
Artificial neural network · Data mining · Energy consumption · Ensemble forecasting · Ensemble learning · Gradient boosting · Machine learning · Random forest · Computer Science · Energy Load and Power Forecasting · Engineering · Human Mobility and Location-Based Analysis · Traffic Prediction and Management Techniques · Artificial Intelligence
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| Unique citing works | 7 |
|---|---|
| Citations per year | 1.75 |
| Citation span | 2022 - 2026 (5) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 7 |