Predicting cloud movement and dynamics is an important aspect in several areas, including
prediction of solar energy generation. Knowing where a cloud will be or how it evolves over …

The most critical issue in integrating solar energy into the electricity grid is the variability of
solar energy. Cloud cover and motions are the most fundamental factors in the formation of …

Prediction of cloud movement is essential for solar irradiance forecasting. However, most of
the cloud tracking and predicting methods at present refer to ground-based images. This …

Intermittency of solar radiation over earth surface due to cloud presence poses a great
challenge for power production at photovoltaic fields. Prediction of cloud kinetics may help to …

Short-term changes in atmospheric transmissivity caused by clouds can engender more
severe fluctuations in photovoltaic (PV) outputs than those from traditional power plants. As …

The shades caused by clouds passing in front of the sun, once on a photovoltaic panel, its
expected energy output drastically drops due to the rapid solar irradiance variation on the …

In this work we propose a new approach to estimate motion of clouds from satellite images
using tools from digital geometry in combination with tools from computer vision field. The …

A technique for cloud motion tracking and cloud motion prediction using ground-based sky
images is presented. This cloud motion prediction technique primarily targets irradiance …

In order to optimally control the energy flow in the microgrid, consist of several renewable
energy sources, including solar photo electric system and storage system, it is essential to …

Ground-based cloud images can provide information on weather and cloud conditions,
which are important for cloud monitoring and PV power generation forecasting. Prediction of …