Published June 23, 2022 | Version v2
Dataset Open

Supplement to "Probabilistic load forecasting for the low voltage network: forecast fusion and daily peaks"

  • 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
md5:154106e9065aa4815191520af06e5ea9
77.5 kB Preview Download
md5:be70acf7bdfd27de1dd8f9626719d163
4.4 MB Preview Download
md5:ad1d98c8b3d05974c50090e4ddb2bfa6
301 Bytes Preview Download
md5:9ba19b3e7cc63571bd5c5ae260988c66
10.1 GB Preview Download
md5:4b737487f0e204b6154ec6f4944111ae
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