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Forecasting the Intra-Day Spread Densities of Electricity Prices
Intra-day price spreads are of interest to electricity traders, storage and electric vehicle operators.
Estimating Dynamic Conditional Spread Densities to Optimise Daily Storage Trading of Electricity
This paper formulates dynamic density functions, based upon skewed-t and similar representations, to model and forecast electricity price spreads between different hours of the day.
RLOC: Neurobiologically Inspired Hierarchical Reinforcement Learning Algorithm for Continuous Control of Nonlinear Dynamical Systems
We show that a small number of locally optimal linear controllers are able to solve global nonlinear control problems with unknown dynamics when combined with a reinforcement learner in this hierarchical framework.
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