부산대학교 도서관

Renewable energy is gradually becoming the main power source in the world, which provides a feasible way to reduce carbon emissions and deal with climate change. However, the complexity and instability of renewable energy system bring great challenges to its management and monitoring. The purpose of this study is to explore an automatic blockchain writing decision model based on neural network algorithm to improve the management and decision support of renewable energy power generation data. Firstly, a large amount of data from solar and wind energy systems was collected. Then, the neural network algorithm is used to process and analyze these data in order to improve the quality and accuracy of the data. In order to ensure the transparency, tamper resistance and security of data, these data are automatically written into the blockchain. Blockchain technology not only guarantees the integrity of data, but also provides opportunities for multiple stakeholders to access shared data, which promotes cooperation and decision-making. This study provides an innovative method for management and decision-making in the field of renewable energy. By combining neural network algorithm and blockchain technology, the quality and credibility of data are successfully improved, and automatic decision support is provided.