Research graph
References from Disaggregated Electricity Demand Forecasting Using Machine Learning for the Day-Ahead Market and Energy Communities. Local targets link to admitted publications; unresolved targets remain external evidence.
Unresolved reference
External reference
Time-series forecasting with deep learning: A survey
10.1098/rsta.2020.0209 · 2021 · External reference
10.3390/math12101504
10.3390/math12101504 · External reference
Long Short-Term Memory
10.1162/neco.1997.9.8.1735 · 1997 · External reference
Unresolved reference
External reference
Temporal Fusion Transformers for interpretable multi-horizon time series forecasting
10.1016/j.ijforecast.2021.03.012 · 2021 · External reference
Probabilistic electric load forecasting: A tutorial review
10.1016/j.ijforecast.2015.11.011 · 2016 · External reference
Another look at measures of forecast accuracy
10.1016/j.ijforecast.2006.03.001 · 2006 · External reference
Erratum: A better measure of relative prediction accuracy for model selection and model estimation
10.1057/jors.2014.124 · 2015 · External reference
Another look at measures of forecast accuracy
10.1016/j.ijforecast.2006.03.001 · ExternalCitation · doi-reference
Probabilistic electric load forecasting: A tutorial review
10.1016/j.ijforecast.2015.11.011 · ExternalCitation · doi-reference
Temporal Fusion Transformers for interpretable multi-horizon time series forecasting
10.1016/j.ijforecast.2021.03.012 · ExternalCitation · doi-reference
Erratum: A better measure of relative prediction accuracy for model selection and model estimation
10.1057/jors.2014.124 · ExternalCitation · doi-reference
Time-series forecasting with deep learning: A survey
10.1098/rsta.2020.0209 · ExternalCitation · doi-reference
Long Short-Term Memory
10.1162/neco.1997.9.8.1735 · ExternalCitation · doi-reference
10.3390/math12101504
10.3390/math12101504 · ExternalCitation · doi-reference
