Open AccessResearch on Intelligent Recognition Technology of Power Consumption Characteristics Based on AdaBoost Model
Author(s) -
Qingtai Chen,
Lvbin Ma,
Gang Sun,
Yunfeng Lin
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1992/3/032131
Subject(s) - adaboost , computer science , power consumption , artificial intelligence , consumption (sociology) , electricity , perception , process (computing) , intelligent decision support system , machine learning , power (physics) , engineering , support vector machine , social science , physics , quantum mechanics , neuroscience , sociology , electrical engineering , biology , operating system
The iterative development of intelligent, information and industrial society puts forward more stringent requirements for power system. However, the current perception and prediction of power consumption characteristics are still based on empirical data, lacking of intelligent and lean perception. Based on this, this paper first analyzes the development status of intelligent recognition tech of user’s electricity consumption characteristics and behavior, then studies the process of intelligent recognition of electricity consumption characteristics based on AdaBoost model, and finally verifies the intelligent recognition tech of power consumption characteristics based on AdaBoost model.