89. Analysis of Shadow Effects on Power Generation Estimation Using Neural Networks and Evaluation of Estimation Models

Abstract

Currently, the use of renewable energy is attracting attention, and forecasting the supply and demand of solar power generation is essential. This research group is constructing a system to predict horizontal solar radiation intensity by monitoring the behavior of cloud shadows. In this study, we constructed a model to estimate the power generated from the predicted horizontal solar radiation intensity using a neural network. We also analyzed the shadows cast on the panels and evaluated to what extent the model was able to estimate the effects of shadows.