Accuracy of wind energy forecasts in Great Britain and prospects for improvement
Bibliographic Data
| ID | 12245153 |
|---|---|
| Authors | Kevin F Forbes (0000-0002-9521-6845, Economic and Social Research Institute, corresponding author), Ernest M Zampelli (0000-0002-4725-7976, University of America) |
| Year | 2020 |
| Volume | 67 |
| Pages | 101111-101111 |
| Publication date | 2020-08-30 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Utilities Policy (JOURNAL) |
| Journal identifiers | ISSN: 0957-1787 • E-ISSN: 1878-4356 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.jup.2020.101111 |
| OpenAlex | W3082521203 |
| Language | EN |
| Citations received | 2 |
| References cited | 18 |
Component (thermodynamics · Econometrics · Economics · Electrical engineering · Electricity · Energy (signal processing · Environmental economics · Forecast error · Geography · Meteorology · Metric (unit · Operations management · Operations research · Statistics · Tonne · Wind power · Computer Science · Energy Load and Power Forecasting · Engineering · Environmental Science · Mathematics · Wind and Air Flow Studies · Wind Energy Research and Development
On a measure of lack of fit in time series models
Distribution of Residual Autocorrelations in Autoregressive-Integrated Moving Average Time Series Models
An Analysis of Transformations
Estimating the impacts of wind power on power systems—summary of IEA Wind collaboration
Analysis of United Kingdom offshore wind farm performance using public data
The intermittency of wind, solar, and renewable electricity generators
| Citations per year | 0.5 |
|---|---|
| Citation span | 2022 - 2026 (5) |
| Highly cited | No |