Establishing method for energy consumption model of base station, and energy consumption predicating method and device

Abstract

The invention discloses an establishing method for an energy consumption model of a base station. The establishing method comprises the following steps of: a, presetting an independent variable and obtaining historical energy consumption data and base station service and configuration data corresponding to the variable; b, fitting a straight line for the obtained data by using multivariate linear regression analysis, returning regression analysis parameters that describe the fitted straight line and establishing the energy consumption model; c, carrying out model validation; and d, carrying out model modification according to a model validation result until the model validation result indicates that the obtained energy consumption model achieves the expected result. The invention further discloses an energy consumption predicating method of the base station, a corresponding establishing device for the energy consumption model of the base station, and an energy consumption predicating device of the base station. Compared with the conventional energy consumption management system, the energy consumption model obtained by the establishing method provided by the invention has an accurate and effective energy consumption predicating 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...

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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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