22 citations · 23 across the 3 of their papers we have counts for
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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…
stat.AP2019★ 22 cited
Machine Learning on EPEX Order Books: Insights and Forecasts
Simon Schnürch, Andreas Wagner
This paper employs machine learning algorithms to forecast German electricity spot market prices. The forecasts utilize in particular bid and ask order book data from the spot mark…