Abstract
With the expansion of data centers, total consumption is growing exponentially. The center is faced with problems such as reducing power consumption, reducing costs and improving resource utilization. Reducing energy costs through monitoring is an important means of energy conservation in data centers. In recent years, more and more real-time energy consumption data are stored on the energy consumption management platform. There is a wealth of knowledge hidden in the energy consumption data in recent years. A large amount of data simplifies the traditional methods, and data mining methods have achieved good results in many fields. Therefore, it is of great significance to study a new energy consumption monitoring system and introduce data mining method into the system.
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Science and technology project of State Grid Corporation of China (Research on key technologies and modes of efficient operation of integrated energy system considering P2X and industry coupling).
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Qian, G., Tang, C., Meng, Y., Qi, X., Wang, J., Zhou, J. (2022). Real Time Monitoring Method of Comprehensive Energy Consumption Based on Data Mining Algorithm. In: Sugumaran, V., Sreedevi, A.G., Xu , Z. (eds) Application of Intelligent Systems in Multi-modal Information Analytics. ICMMIA 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 138. Springer, Cham. https://doi.org/10.1007/978-3-031-05484-6_27
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DOI: https://doi.org/10.1007/978-3-031-05484-6_27
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