In recent years, photovoltaic energy production has experienced significant progress, being
integrated into the grid through large-scale distributed systems. The intermittent nature of …

Many decision-making processes in the energy industry depend on probabilistic forecasting
to quantify the future uncertainties. However, existing methods are difficult to provide reliable …

The integration of photovoltaic generation systems and variable demand can cause
instability in the distribution network, due to power fluctuations and the increase in reactants …

Conformal prediction (CP) is a learning framework controlling prediction coverage of
prediction sets, which can be built on any learning algorithm for point prediction. This work …

Accurate short-term load forecasting (STLF) plays an essential role in sustainable energy
development. Specifically, energy companies can efficiently plan and manage their …