计算机科学
空调
研究对象
电流(流体)
可靠性工程
控制工程
运筹学
工程类
电气工程
机械工程
区域科学
地理
作者
Qixin Zhu,Mengxiang Zhuang
出处
期刊:Recent advances in computer science and communications
[Bentham Science]
日期:2021-02-08
卷期号:15 (7)
标识
DOI:10.2174/2666255814666210201102854
摘要
Objective: In order to better understand the research results of AC load prediction and carry out new research, the Air Conditioning (AC) load forecasting method plays an important role in the energy consumption of AC. Method: This paper summarizes the methods of building AC load prediction, mainly from the impact factors of AC operating load and the methods of AC system operating load forecasting to introduce the current status of load prediction. This paper describes some studies on load influencing factors, compares the advantages and disadvantages of modeling methods for AC operation load prediction and points out the research direction of AC load forecasting. Results: The current research methods are summarized and analyzed. Traditional forecasting methods are no longer applicable to air conditioning systems. From the current research, combinatorial prediction has become a hot research object. This method combines two or more methods to reduce the prediction error and shorten the prediction time. Conclusion: This paper points out some shortcomings of the present research and the future research suggestions are given in the three aspects of sharing AC operation data, selecting the key factors of AC, and exploring the new methods.
科研通智能强力驱动
Strongly Powered by AbleSci AI