@article{Лещинський_Коновалюк_Соколова_2014, title={Prediction model of electric energy consumption of airport lighting equipment}, volume={2}, url={https://journals.uran.ua/tarp/article/view/23427}, DOI={10.15587/2312-8372.2014.23427}, abstractNote={<em>A method of using multivariate regression model of predicting electric energy consumption of airport lighting for managing the efficient use of energy resources of airlines is proposed in the paper. Prediction using the correlation and regression methods involves finding mathematical equations, describing the statistical relationship of one indicator to another (pair correlation), with a group of other indicators (multiple correlation) or between the values of one indicator (autocorrelation). For obtaining a general linear multivariate prediction model, a classical method of least squares was used by the authors. Using the developed model will allow to develop a complex of energy saving measures, taking into account plans of reconstructing the existing infrastructure and manage electric energy consumption of the lighting equipment, taking into consideration peculiarities of its operation. The obtained model was tested on the statistical data of Kiev International airport (Zhuliany).</em>}, number={1(16)}, journal={Technology audit and production reserves}, author={Лещинський, Олег Львович and Коновалюк, Валентина Станіславівна and Соколова, Наталія Петрівна}, year={2014}, month={Mar.}, pages={27–31} }