Published June 23, 2022
| Version v2
Dataset
Open
Supplement to "Probabilistic load forecasting for the low voltage network: forecast fusion and daily peaks"
Authors/Creators
- 1. University of Strathclyde
- 2. University of Glasgow
Description
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
code.zip
Files
(10.1 GB)
| Name | Size | Download all |
|---|---|---|
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md5:154106e9065aa4815191520af06e5ea9
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77.5 kB | Preview Download |
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md5:be70acf7bdfd27de1dd8f9626719d163
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4.4 MB | Preview Download |
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md5:ad1d98c8b3d05974c50090e4ddb2bfa6
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301 Bytes | Preview Download |
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md5:9ba19b3e7cc63571bd5c5ae260988c66
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10.1 GB | Preview Download |
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md5:4b737487f0e204b6154ec6f4944111ae
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181.7 kB | Preview Download |
Additional details
Related works
- Is supplement to
- Preprint: https://arxiv.org/abs/2206.11745 (URL)
Funding
- UK Research and Innovation
- System-wide Probabilistic Energy Forecasting EP/R023484/1
- UK Research and Innovation
- Analytical Middleware for Informed Distribution Networks (AMIDiNe) EP/S030131/1