WEB TECHNOLOGIES USED TO FORECAST FUTURE WASTE QUANTITIES

USV Annals of Economics and Public Administration

卷:14

Valeriu LUPU¹ 

[1] `Stefan cel Mare` University of Suceava, Romania;

关键词: web server;    database;    prognosis;    time series;    trend;    seasonality;    residual variable;   

DOI  :  

来源: DOAJ

【 摘 要 】

In this article the authors propose a modality of prognosis of the quantities of waste generated in a certainperiod. The proposition was finalized by achieving a model of prognosis present on a site hosted by a Web server. Thesoftware solve the problem for the general case, depending on the input data after analysis. After analyzing input datasets are used with one, two or three components (trend, seasonality and residual variable). According to the input datathe adjustment model regarding the description of the analyzed phenomenon (additive and multiplying) is chosen. If thechronogram of the analyzed phenomenon indicates an oscillating evolution, of sinusoidal nature, the additive model (+)is chosen, otherwise the multiplying model (  ) is chosen. The seasonal component is estimated and the deseasonalizedchronological series is determined. The seasonality is determined by: the procedure of arithmetical means, theprocedure of moving averages and the procedure of analytical tendency. The adjustment function is specified regardingthe tendency of the phenomenon and its parameters are estimated. The significance of the adjustment function isverified specifying the significance threshold with which it may be accepted as significant. The estimation of theparameters of the adjustment function is made on the basis of the application of the method of least squares. Thevalues of the phenomenon on two or three trimesters/ months are estimated for the processed data (by using timeseries with two or three steps ahead). Several types of waste specified by the value of the meter for waste from thedatabase may be accepted. The model proposed makes decisions and justifies if the data prognosticated is accepted ornot. All information from the input data to the final data is stored in a MySQL database.

【 授权许可】

Unknown