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基于聚类算法和深度学习的电力负荷预测研究综述

A Review of Power Load Forecasting Based on Clustering Algorithm and Deep Learning

  • 摘要: 随着互联网技术和能源产业的快速发展,电力能源领域不断变革。对基于聚类算法和深度学习的电力负荷预测研究进行系统的综述,涵盖了电力负荷预测的基本概念、发展情况,主流聚类算法、预测方法,及深度学习的基本概念、技术原理和应用。

     

    Abstract: With the rapid development of internet technology and the energy industry, the power energy field is constantly undergoing changes. This paper provides a systematic review of the research on power load forecasting based on clustering algorithms and deep learning, covering the basic concepts, development of power load forecasting, mainstream clustering algorithms, forecasting methods, and the basic concepts, technical principles, and applications of deep learning.

     

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