The growing interest in renewable energy and the falling prices of solar panels place solar
electricity in a favourable position for adoption. However, the high-rate adoption of …

Variability of solar resource poses difficulties in grid management as solar penetration rates
rise continuously. Thus, the task of solar power forecasting becomes crucial to ensure grid …

As solar photovoltaic (PV) generation becomes cost-effective, solar power comes into its
own as the alternative energy with the potential to make up a larger share of growing energy …

Prediction intervals (PIs) estimation is a powerful statistical tool used for quantifying the
uncertainty of PV power generation in power systems. The lower upper bound estimation …

Photovoltaic systems are expected to play a key role in the planning and operation of future
distribution systems due to the benefits associated with their use. Unfortunately, a great …

Solar energy production is steadily growing in several countries. Depending on
meteorological variables such as solar irradiance, cloud cover and temperature, solar power …

Photovoltaic (PV) systems are widely spread across MV and LV distribution systems and the
penetration of PV generation is solidly growing. Because of the uncertain nature of the solar …

North China is one of the country's most important socio-economic centers, but its severe air
pollution is a huge concern. In this region, precisely forecasting the daily photovoltaic power …

To mitigate the uncertainty of variable renewable resources, two off-the-shelf machine
learning tools are deployed to forecast the solar power output of a solar photovoltaic system …

Abstract Setting an adequate operating power reserve (PR) to compensate unpredictable
imbalances between generation and consumption is essential for power system security …