TY - GEN
T1 - Modelling of adequate costs of utilities services
AU - Zuters, Janis
AU - Valeinis, Janis
AU - Karnitis, Girts
AU - Karnitis, Edvins
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2016.
PY - 2016
Y1 - 2016
N2 - The paper propose methodology for benchmark modelling of adequate costs of utilities services, which is based on the data analysis of the factual cases (key performance indicators of utilities as the predictors). The proposed methodology was tested by modelling of Latvian water utilities with three tools: (1) a classical version of the multi-layer perceptron with error back-propagation training algorithm was sharpened up with task-specific monotony tests, (2) the fitting of the generalized additive model using the programming language R ensured the opportunity to evaluate the statistical significance and confidence bands of predictors, (3) the sequential iterative nonlinear regression process with minimizing mean squared error provided the notion of the impact of each predictor on the searched regularity. The quality of models is high: the adjusted determination coefficient is greater than 0.75, explained deviance exceeds 0.80, while the correlation between the respective modelled values exceeds even 0.95.
AB - The paper propose methodology for benchmark modelling of adequate costs of utilities services, which is based on the data analysis of the factual cases (key performance indicators of utilities as the predictors). The proposed methodology was tested by modelling of Latvian water utilities with three tools: (1) a classical version of the multi-layer perceptron with error back-propagation training algorithm was sharpened up with task-specific monotony tests, (2) the fitting of the generalized additive model using the programming language R ensured the opportunity to evaluate the statistical significance and confidence bands of predictors, (3) the sequential iterative nonlinear regression process with minimizing mean squared error provided the notion of the impact of each predictor on the searched regularity. The quality of models is high: the adjusted determination coefficient is greater than 0.75, explained deviance exceeds 0.80, while the correlation between the respective modelled values exceeds even 0.95.
KW - Data analysis
KW - Generalized additive model
KW - Multi-layer perceptron
KW - Nonlinear regression
KW - Utility services
UR - https://www.scopus.com/pages/publications/84988811229
U2 - 10.1007/978-3-319-46254-7_1
DO - 10.1007/978-3-319-46254-7_1
M3 - Conference paper
AN - SCOPUS:84988811229
SN - 9783319462530
T3 - Communications in Computer and Information Science
SP - 3
EP - 17
BT - Information and Software Technologies - 22nd International Conference, ICIST 2016, Proceedings
A2 - Dregvaite, Giedre
A2 - Damasevicius, Robertas
PB - Springer Verlag
T2 - 22nd International Conference on Information and Software Technologies, ICIST 2016
Y2 - 13 October 2016 through 15 October 2016
ER -