An adaptive ensemble predictive strategy for multiple scale electrical energy usages forecasting
Bibliographic Data
| ID | 21229778 |
|---|---|
| Authors | Jing Tian (0000-0001-7746-7782, Jiangsu University), Kangji Li (0000-0001-9732-0876, Jiangsu University, corresponding author), Wenping Xue (0000-0002-4370-5372, Jiangsu University) |
| Year | 2021 |
| Volume | 66 |
| Pages | 102654 |
| Publication date | 2021-03-01 |
| 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.2020.102654 |
| OpenAlex | W3118050028 |
| Language | EN |
| Citations received | 6 |
| References cited | 40 |
ASHRAE 90.1 · Cluster analysis · Data mining · Data pre-processing · Smart grid · Statistics · Computer Science · Energy Load and Power Forecasting · Engineering · Grey System Theory Applications · Neural Networks and Applications · Artificial Intelligence
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A novel hybrid model based on particle swarm optimisation and extreme learning machine for short-term temperature prediction using ambient sensors
| Citations per year | 1.2 |
|---|---|
| Citation span | 2021 - 2026 (6) |
| Highly cited | No |