Reliability assessment of energy internet in smart energy towns based on data mining

Yujun Wang

doi:10.1117/12.2637686

8 May 2022 Reliability assessment of energy internet in smart energy towns based on data mining

Yujun Wang

Proceedings Volume 12249, 2nd International Conference on Internet of Things and Smart City (IoTSC 2022）; 122490P (2022) https://doi.org/10.1117/12.2637686
Event: 2022 2nd International Conference on Internet of Things and Smart City (IoTSC 2022）, 2022, Xiamen, China

Abstract

As an important material basis, energy is related to the rapid and stable development of the economy and society. Taking the new round of energy revolution as a development opportunity, establishing an advanced energy supply system with the goal of being safe, reliable, cost-effective, clean and environmentally friendly has become a development goal pursued by all parts of the world. In order to deal with the dual problems of energy crisis and environmental pollution, the establishment of the Energy Internet is imminent, which has led to the concern of the reliability level of energy supply. Over the past 300 years, with the continuous deepening of the self-industrialization process, the energy industry has developed rapidly, providing strong support for the development and progress of the world economy and society. The energy Internet covers the interaction of various information and energy, and it is difficult to evaluate it with traditional reliability assessment methods. This paper adopts the method of data mining, which is based on many disciplines such as machine learning, pattern recognition, statistics, database and artificial intelligence. and industry attention.

Citation Download Citation

Yujun Wang "Reliability assessment of energy internet in smart energy towns based on data mining", Proc. SPIE 12249, 2nd International Conference on Internet of Things and Smart City (IoTSC 2022）, 122490P (8 May 2022); https://doi.org/10.1117/12.2637686

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