智能电网需求侧个性化推荐系统

基于智能电网的双向通信基础设施与先进量测设备,个性化推荐技术从收集的需求侧大数据中获取知识,为优化电网运营提供有力支持,并向终端用户推荐面向能源的产品/服务/建议。研究首先探讨了个性化推荐技术的原理以及在需求侧中引入个性化推荐技术的前景;其次,介绍了实现智能电网需求侧推荐系统的关键技术,并对现有研究工作以及未来构建的需求侧个性化推荐系统进行分析;最后,讨论了实现需求侧个性化推荐系统可能遇到的挑战。

Personalized recommendation system in the demand side of smart grid

Driven by the climate change and energy shortage, smart grid has obtained rapid growth worldwide as a solution for the sustainable development of human society. How to extract information from the demand side big data and optimize the grid operation based on the two-way communication infrastructure and advanced metering infrastructure of the smart grid has become an important research topic. As a technology of data analysis and information filtering, personalized recommendation technology is expected to support the information retrieval from the grid data, and recommend energy-oriented products/services/suggestions to the end user. This paper firstly introduces the basic principles of personalized recommendation technology as well as the prospect of introducing this technology into the demand side. Then, some key technologies of implementing the personalized recommendation systems in the smart grid are presented. Furthermore, this paper reviews the existing research in this field and discusses some potential and promising demand side recommendation systems in future. Finally, some challenges of practically deploying the personalized recommendation systems in the smart grid are examined.