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 …

Renewable energy forecasting is crucial for integrating variable energy sources into the grid.
It allows power systems to address the intermittency of the energy supply at different …

The randomness and volatility of solar irradiance pose a challenge to efficient solar energy
development and utilization across the world, which increases the necessity of developing …

Solar energy supply is usually highly volatile, limiting its integration into the power grid.
Accurate probabilistic intraday forecasts of solar resources are essential to increase the …

Accurate solar resource forecasting remains a challenge. Electricity grid applications require
both days-ahead and intra-day prediction. Satellite-based methods are known to be the best …

Distributed, small-scale solar photovoltaic (PV) systems are being installed at a rapidly
increasing rate. This can cause major impacts on distribution networks and energy markets …

Accurate nowcasting for cloud fraction is still intractable challenge for stable solar
photovoltaic electricity generation. By combining continuous radiance images measured by …

Reliable solar radiation and photovoltaic power prediction is essential for the safe and
stable operation of electric power systems. Cloud cover is highly related with solar radiation …

Solar photovoltaic (PV) power has become one of the major renewable energy sources in
modern power systems. Hence, solar forecasting is indispensable for addressing the …

Surface solar irradiance (SSI) plays a crucial role in tackling climate change—as an
abundant, non-fossil energy source, exploited primarily via photovoltaic (PV) energy …