Solar forecasting is a rapidly evolving field that can substantially contribute to the effective
integration of large amounts of solar photovoltaic (PV) capacity into the electricity system …

Conformal prediction (CP) is known to theoretically guarantee prediction interval coverage
under the exchangeability assumption. However, industrial time series collected from real …

A fundamental question in data-driven decision making is how to quantify the uncertainty of
predictions in ways that can usefully inform downstream action. This interface between …

This paper proposes a risk-averse approach to energy storage price arbitrage, leveraging
conformal uncertainty quantification for electricity price predictions. The method addresses …