Dataset Open Access
Supplement to "Probabilistic load forecasting for the low voltage network: forecast fusion and daily peaks"
Gilbert, Ciaran;
Browell, Jethro
This deposit contains the scripts and data used in the research article "Probabilistic load forecasting for the low voltage network: forecast fusion and daily peaks", which proposed a novel method for electricity demand forecasting in low voltage networks.
The scripts are written in the form of R markdown and include additional commentary on the methodology. Both input data and the resulting forecast data and evaluation results are provided, though the latter two may be regenerated by running the scripts.
Files
(10.1 GB)
| Name | Size | |
|---|---|---|
|
code.zip
md5:bb3429e368927dee464bbd7931c8d3d0 |
77.0 kB | Download |
|
outputs.zip
md5:be70acf7bdfd27de1dd8f9626719d163 |
4.4 MB | Download |
|
readme.md
md5:ad1d98c8b3d05974c50090e4ddb2bfa6 |
301 Bytes | Download |
|
saved_data.zip
md5:9ba19b3e7cc63571bd5c5ae260988c66 |
10.1 GB | Download |
107
181
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 107 | 61 |
| Downloads | 181 | 17 |
| Data volume | 485.2 GB | 40.4 GB |
| Unique views | 95 | 56 |
| Unique downloads | 125 | 13 |
Indexed in
- Publication date:
- June 23, 2022
- DOI:
-
- Keyword(s):
- Energy Electricity Demand Probabilistic Forecasting Energy Forecasting
- Grants:
-
UK Research and Innovation:
-
Analytical Middleware for Informed Distribution Networks (AMIDiNe) (EP/S030131/1)
- System-wide Probabilistic Energy Forecasting (EP/R023484/1)
-
Analytical Middleware for Informed Distribution Networks (AMIDiNe) (EP/S030131/1)
- Related identifiers:
- Supplement to
- https://arxiv.org/abs/2206.11745 (Preprint)
- License (for files):
- Creative Commons Attribution 4.0 International