Electrical load forecasting models
A critical systematic review
Bibliographic Data
| ID | 21228286 |
|---|---|
| Authors | Corentin Kuster (Cardiff University, corresponding author), Yacine Rezgui (0000-0002-5711-8400, Cardiff University), Monjur Mourshed (0000-0001-9145-7572, Centre for Sustainable Energy) |
| Year | 2017 |
| Volume | 35 |
| Pages | 257-270 |
| Publication date | 2017-11-01 |
| 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.2017.08.009 |
| OpenAlex | W2744106784 |
| Language | EN |
| Citations received | 16 |
| References cited | 55 |
Autoregressive integrated moving average · Autoregressive model · Data mining · Econometrics · Machine learning · Predictive modelling · Support vector machine · Time series · Computer Science · Energy Load and Power Forecasting · Forecasting Techniques and Applications · Mathematics · Stock Market Forecasting Methods · Artificial Intelligence
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| Unique citing works | 16 |
|---|---|
| Citations per year | 2 |
| Citation span | 2018 - 2025 (8) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 16 |