Accurate forecasting of solar PV generation is critical for integrating renewable energy into power systems. This paper presents a multivariate probabilistic forecasting model that addresses the challenges posed by imbalanced data resulting from day and night-time periods in solar photovoltaic...

Most fleet assignment problem (FAP) formulations use a leg-based estimation of revenue loss to derive the passenger revenue component of their objective function. This neglects the leg interdependency of revenues, caused by multileg itineraries. We tackle this problem by modifying the objective...

Accurate forecasting of solar PV generation is critical for integrating renewable energy into power systems. This paper presents a multivariate probabilistic forecasting model that addresses the challenges posed by imbalanced data resulting from day and night-time periods in solar photovoltaic...