The uncertainty of the energy generated by photovoltaic systems incurs an additional cost for a guaranteed, reliable supply of energy (i. e., energy storage).
The optimal decision criterion to find the number of clusters in the mixture models is analyzed and compared between different Bayesian metrics and a sequential hidden Markov model.
The increasing number of Photovoltaic (PV) systems connected to the power grid are vulnerable to the projection of shadows from moving clouds.
The energy available in Micro Grid (MG) that is powered by solar energy is tightly related to the weather conditions in the moment of generation.
Photovoltaic systems are sensitive to cloud shadow projection, which needs to be forecasted to reduce the noise impacting the intra-hour forecast of global solar irradiance.
We explain how to remove cyclostationary biases in global solar irradiance measurements.
Time Series Instrumentation and Methods for Astrophysics Image and Video Processing