A hypernetwork that generates per-household linear forecast weights is the only global model in the test that improves its error when weather, holiday, and football-event data are added, beating other global models on a 6,010-household Luxembourg dataset.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Leveraging External Factors in Household-Level Electrical Consumption Forecasting using Hypernetworks
A hypernetwork that generates per-household linear forecast weights is the only global model in the test that improves its error when weather, holiday, and football-event data are added, beating other global models on a 6,010-household Luxembourg dataset.