Open AccessResearch on power resource based on time series analysis
Author(s) -
Zhihan Li,
Hao Li
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/514/4/042068
Subject(s) - scope (computer science) , power (physics) , electricity , computer science , resource (disambiguation) , environmental economics , function (biology) , operations research , consumption (sociology) , economics , electrical engineering , engineering , computer network , social science , physics , quantum mechanics , evolutionary biology , sociology , biology , programming language
In recent years, electronic devices have been found everywhere in our lives, and many public places now offer free charging devices that are convenient for people to use. This paper studies the changing rules and future development trends of free charging demand and cost in public places, and gives a concrete model for calculating the cost and demand function of power resources in various occasions. For the first problem, we first found the use of power resources in the past ten years, and then described the trend of the free charging power demand in public places through a visual method. Then we introduce a time series model to predict the future demand of power resources, and use the data from 2000 to 2018 to predict the trend of power demand in 2019-2025. It can be seen that electricity consumption will continue to increase in the next few years, and the trend is more obvious than before. For question two, we first considered the cost of free charging in public. Since the free charging in public areas is somewhat similar to shared charging devices, we used the first question model to predict the cost of sharing charging devices in the coming week. Demand trends, by introducing parameters such as average device charging power, number of devices, and number of outlets, we established a power cost model and discussed the scope and scope of these costs. For the third problem, we revised the second question based on the parameters of different types of public places such as shopping centers, cafes, schools, etc., and constructed different cost models for calculation, and analyzed the models for different public places. The scope and strategy of the parameters. In response to question four, we have proposed measures to reduce the cost of energy use in public places from the perspective of the government and the public. It also analyzes the characteristics of free charging in schools and shopping malls, and finds measures to reduce energy consumption in public places in both cases. In response to question five, we wrote an article for the school newspaper about the electricity consumption in China in recent years and the measures to reduce the cost of electricity, and called on everyone to save electricity.