Application and Future of Modern Energy Internet Based on Artificial Intelligence

Xiaojing Yang, Tianlu Gao, Shiqian Ma, Xiaoyan Gong, Zhigang Huang, Dazhi Hao
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Abstract

The emergence of deep learning is undoubtedly a landmark breakthrough in artificial intelligence, and the emergence of this technology makes it possible for us to realize the real smart grid. A major challenge currently facing deep learning technology is the requirement of enough training samples to ensure the accuracy of results of the learning. But for the current power grid, training data can be obtained because a lot of real time data is collected to maintain the stability of its operation. With the deep learning technology, there is no doubt that these data can be utilized to realize the intelligent operation of the power grid. First, this paper gives a brief introduction to the current artificial intelligence, followed by the introduction of deep learning technology. Some potential applications of the deep learning in the daily operation of the power grid are proposed. And in the end, there is a brief description of some of the features that future smart grids should have.
基于人工智能的现代能源互联网应用与未来
深度学习的出现无疑是人工智能领域里程碑式的突破,而这项技术的出现使我们实现真正的智能电网成为可能。目前深度学习技术面临的一个主要挑战是需要足够的训练样本来确保学习结果的准确性。但是对于目前的电网来说,由于需要采集大量的实时数据来保持其运行的稳定性,所以可以获得训练数据。通过深度学习技术,毫无疑问,这些数据可以被用来实现电网的智能运行。本文首先对当前的人工智能进行了简要介绍,然后介绍了深度学习技术。提出了深度学习在电网日常运行中的一些潜在应用。最后,简要介绍了未来智能电网应该具备的一些特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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