Introducing technical indicators to electricity price forecasting A feature engineering study for linear ensemble and deep machine learning models

Day-ahead electricity market (DAM) volatility and price forecast errors have grown in recent years. Changing market conditions, epitomised by increasing renewable energy production and rising intraday market trading, have spurred this growth. If forecast accuracies of DAM prices are to improve, new features capable of capturing the effects of...

Exploratory visual analytics for the european single intra-day coupled electricity market

European single intra-day coupled electricity market (SIDC) trading activity has increased substantially in recent years mainly as a consequence of the increasing penetration of renewable energy production and its subsequent impact on imbalance market prices. Nonetheless, more research is needed to understand this growing market. This paper...