Photovoltaic electricity generation capacity prediction using deep learning approach

Electricity demand is increasing every day. But most electricity generation creates pollution or using limited resources. So, electricity generation sources move towards renewable energy. For example, solar, wind, and hydro energy. Especially, solar power which implementation cost is lower and accessible to households. However, electricity generated from solar power is highly influenced by environments that cannot be controlled by humans. Which will have an impact on power grid management. This work studied the deep learning approach on photovoltaic electricity generation capacity. If the model has good accuracy, it can be used for either small- or large-scale electric power generation estimation. Furthermore, this model can use as information for application about photovoltaic generation.