Base station energy consumption model establishment method, energy consumption prediction method and device

Abstract

The invention discloses a method for establishing a base station energy consumption model, comprising the following steps: a. Presetting independent variables and acquiring historical energy consumption data and base station services and configuration data corresponding to the independent variables; b. Using multiple linear regression analysis , fit the obtained data with a straight line, return the regression analysis parameters describing the fitted straight line, and establish the energy consumption model; c. Carry out model verification; d. Carry out model correction according to the results of model verification until the end of model verification The results show that the obtained energy consumption model has achieved the desired effect. A method for predicting energy consumption of a base station is also disclosed herein. The corresponding base station energy consumption model establishment device and base station energy consumption prediction device are also disclosed herein. Compared with the previous energy consumption management system, the energy consumption model obtained according to the present invention has an accurate and effective energy consumption prediction function.

Description

technical field [0001] The invention relates to base station energy consumption management, in particular to a base station energy consumption model establishment method, prediction method and device. Background technique [0002] With the development of the communication industry and the continuous expansion of the network scale, the energy consumed by the communication industry is increasing. The latest data shows that the annual power consumption of the entire Chinese communication industry has exceeded 20 billion kWh, accounting for 90% of the total energy consumption; while the main equipment of wireless base stations and air conditioners in supporting equipment are the main power consumption. [0003] In order to save energy and reduce emissions, reduce enterprise operating costs, and improve the efficiency and benefits of enterprise production and operation management, communication operators need to conduct statistics and forecasts on energy consumption data, find an...

AI Technical Summary

Problems solved by technology

[0005] 1. Traditional energy consumption management solutions use statistical software such as BMDP and SPSS, which do not have energy consumption management functions for the communication industry. It is necessary to manually import energy consumption data and manually determine the analysis method and independent variables and dependent variables before statistical analysis can be performed;

[0006] 2. Traditional energy management systems basically do not involve the establishment and prediction of energy consumption models

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