基于Python的居民用电特征搜索引擎设计  

Design of a Python Based Residential Electricity Feature Search Engine

作　　者：朱宇飞 王莉 周嘉磊 ZHU Yufei;WANG Li;ZHOU Jiaei(Hunan University of Technology and Business,Changsha Hunan 410205,China)

机构地区：[1]湖南工商大学,湖南长沙410205

出　　处：《信息与电脑》2023年第10期154-156,160,共4页Information & Computer

基　　金：2021年湖南省大学生实践创新训练项目“基于Python的居民用电特征搜索引擎设计项目”(项目编号:S202110554046)。

摘　　要：文章分析了居民用电的特征,通过Python工具利用爬虫技术以“居民用电”为关键词爬取了百度和中国国家知识基础设施(China National Knowledge Infrastructure,CNKI)中的相关文本,统计文本出现的频率,获得出现次数较高的关键词,然后对这些关键词进行可视化设计和分析,得出百度的关键词主要与价格有关,而CNKI的关键词与用电行为有关。This article analyzes the characteristics of residential electricity consumption.Using Python tools and web scraping techniques with"residential electricity"as the keyword,relevant texts were crawled from Baidu and China National Knowledge Infrastructure(CNKI)databases.The texts were subject to word frequency analysis,identifying the most frequently appearing keywords.These keywords were then visualized and analyzed for further insights.Baidu's keywords are mainly related to price,while CNKI's keywords are related to electricity consumption behavior.

关 键 词：居民用电 PYTHON 爬虫 词频统计 可视化设计 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]