most citedShort- and long-term forecasting of electricity prices using embedding of calendar information in neural networks

1 citations · 1 across the 1 of their papers we have counts for

collaborators

1 paper

stat.AP2020★ 1 cited

Short- and long-term forecasting of electricity prices using embedding of calendar information in neural networks

Andreas Wagner, Enislay Ramentol, Florian Schirra +1

Electricity prices strongly depend on seasonality of different time scales, therefore any forecasting of electricity prices has to account for it. Neural networks have proven succe…