Hourly-averaged solar plus wind power generation for Germany 2016
Long-term prediction, short-term forecasting, data mining and outlier analysis
Bibliographic Data
| ID | 21229632 |
|---|---|
| Authors | David A Wood (0000-0002-9748-8561, EDF Energy (United Kingdom), corresponding author) |
| Year | 2020 |
| Volume | 60 |
| Pages | 102227 |
| Publication date | 2020-09-01 |
| 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.2020.102227 |
| OpenAlex | W3034116694 |
| Language | EN |
| Citations received | 1 |
| References cited | 21 |
Feature selection · Geography · Machine learning · Mean squared error · Meteorology · Outlier · Predictive modelling · Statistics · Wind speed · Building Energy and Comfort Optimization · Computer Science · Energy Load and Power Forecasting · Environmental Science · Mathematics · Solar Radiation and Photovoltaics
| Unique citing works | 1 |
|---|---|
| Citations per year | 0,2 |
| Citation span | 2021 - 2021 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |