aspg-3-4046-1792486436
20261020085356
American Scientific Publishing Group
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American Scientific Publishing Group
Fusion: Practice and Applications
FPA
2770-0070
2692-4048
2026
21
2
Models and Algorithms for Minimizing Errors in Managing the Consumption of Fuel and Energy Resources
Murodjon
Sultanov
Tashkent State University of Economics, 49 Islam Karimov Street, 100066 Tashkent, Uzbekistan
Botirjon
Karimov
School of ICT, College of Sciences and Engineering, University of Tasmania, Hobart TAS 7001, Australia
Olimjon
Uralov
Tashkent State University of Economics, 49 Islam Karimov Street, 100066 Tashkent, Uzbekistan
Nodir
Akbarov
Tashkent State University of Economics, 49 Islam Karimov Street, 100066 Tashkent, Uzbekistan
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Managing fuel and energy resources (FER) efficiently is still a major challenge for energy-intensive industries like oil and gas. This paper presents a practical framework that combines mathematical models with easy-to-run algorithms to plan and control FER use in real time. Our twin goals are to cut costs and keep equipment dependable. We first outline the main parts of an energy-management system for an oil-and-gas operation, and then list the key tasks, factors, and decision criteria. The framework has two complementary paths: Path 1 relates FER use to production output via Lagrange optimization, while Path 2 fine-tunes forecasts with a simple least-squares correction based on metered data. Both paths are implemented as executable algorithms and tested on real electricity and fuel-gas datasets. The new method cuts monthly FER-planning errors by up to 80 %, reducing penalties and helping equipment last longer.
2026
42
55
4046
https://creativecommons.org/licenses/by/4.0/
10.54216/FPA.210203
https://www.americaspg.com/journal/3/article/4046
-
https://www.americaspg.com/storage/81756576213.pdf