The ability to forecast solar irradiance plays an indispensable role in solar power
forecasting, which constitutes an essential step in planning and operating power systems …

Irradiance-to-power conversion is an essential step of state-of-the-art photovoltaic (PV)
power forecasting, regardless of the source and post-processing of irradiance forecasts. The …

Effective short-term wind power prediction is crucial to the optimal dispatching, system
stability, and operation cost control of a power system. In order to deal with the intermittent …

Probabilistic solar forecasts may take the form of predictive probability distributions,
ensembles, quantiles, or interval forecasts. State-of-the-art approaches build on input from …

Inspecting the literature, much effort has been placed on the verification of irradiance
forecasts from numerical weather prediction (NWP) models, as such forecasts are thought to …

Weather is often found to be a key driving factor for power generation and energy
consumption. To capture the effects of weather, many energy forecasting practices, such as …

Ensemble numerical weather prediction (NWP) is the backbone of the state-of-the-art solar
forecasting for horizons ranging between a few hours and a few days. Dynamical ensemble …

Physical model chain is a step-by-step modeling framework for the conversion of irradiance
to photovoltaic (PV) power. When a model chain is fed with irradiance forecasts, it provides …

Accurate photovoltaic power forecasting can provide a basis for low-carbon economic
dispatch of power systems with a high proportion of renewable energy. Regression networks …

With increasing demand for energy, the penetration of alternative sources such as
renewable energy in power grids has increased. Solar energy is one of the most common …