Efficient work of grids with the maximum potential utilization, together with supply and modern consumer satisfaction, as well as unpredictability of distributed energy sources, represents the challenge of successful load management. This paper proposes the load management framework and analyses state-of-the-art research activities from the area of load management in smart grids. It addresses three steps in load management framework: modelling and prediction, measurement and monitoring, and optimization and control. The original contribution of this meta-analysis and state-of-the-art review is a multi-factor approach to the process of load management with the identification of key influence factors from groups: system, context and user.

具有最大潜在利用率的电网高效工作，以及供应和现代消费者满意度，以及分布式能源的不可预测性，代表了成功负载管理的挑战。本文提出了负载管理框架，并分析了智能电网负载管理领域的最新研究活动。它涉及负载管理框架中的三个步骤：建模和预测、测量和监控以及优化和控制。这项元分析和最新技术审查的最初贡献是一种多因素方法来处理负荷管理过程，从组中识别关键影响因素：系统、环境和用户。