@article{semenychev_multimodel_2017,
	title = {Multimodel forecasting of non-renewable resources production},
	issn = {03605442},
	url = {http://linkinghub.elsevier.com/retrieve/pii/S0360544217306643},
	doi = {10.1016/j.energy.2017.04.098},
	abstract = {The article addresses the complexities of modelling and forecasting of non-renewable resources production (oil, gas, coal, etc.), by means of combining five production trend models with "custom" asymmetry, as well as with six models of fluctuation components: harmonic, independent from the trend; harmonic, proportional to the trend; simultaneous presence of the first and second models of fluctuation components; harmonic with "weighted amplitude"; "frequency-weighted" harmonics.

The purpose of this research is to increase the production forecasting accuracy, by considering the fluctuation components models and by monitoring the models’ evolution and fluctuation.

The offered methods provide a production forecasting accuracy increase for oil in the U.S. - by 3.2\%, for coal in Germany - by 5\%, and gas in the Volgograd region (Russia) - by 25\%.},
	language = {en},
	urldate = {2017-04-26},
	journal = {Energy},
	author = {Semenychev, V.K. and Kurkin, E.I. and Semenychev, E.V. and Danilova, A.A.},
	month = apr,
	year = {2017},
	note = {00000},
	keywords = {energy, limits, collapse, oil, models, fossil},
	file = {Semenychev et al. - 2017 - Multimodel forecasting of non-renewable resources .pdf:C\:\\Users\\rsrs\\Documents\\Zotero Database\\storage\\UGBMATIQ\\Semenychev et al. - 2017 - Multimodel forecasting of non-renewable resources .pdf:application/pdf}
}

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