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- Title
Application of Predictive Models for Natural Gas Needs - Current State and Future Trends Review.
- Authors
BAJATOVIĆ, Dušan; ANĐELKOVIĆ, Aleksandar S.; ĆOSIĆ, Ilija; MAKSIMOVIĆ, Rado
- Abstract
Nowadays, in terms of trading on the world scale, to foresee a natural gas consumption represents an essential activity. In the first part, the paper examines the current state of the Serbian natural gas sector and methodology applied for prediction and capacity planning. In addition, the study intends to give a comprehensive assessment of predictive algorithms for natural gas needs involved in the last decade with projections and suggestions for future applications. The primary task is to evaluate used predictive models with an emphasis on the accuracy of the predictions obtained. Additionally, the paper will analyse used parameters, consumption scale, prediction scope, forecast algorithms, and other related information. The main objective of this study is to review the new-fangled information related analyses data from peer-reviewed journals, international conferences, and books.
- Subjects
PREDICTION models; NATURAL gas; NATURAL gas consumption; FORECASTING; GAS industry; GENETIC algorithms
- Publication
Technical Gazette / Tehnički Vjesnik, 2020, Vol 27, Issue 2, p648
- ISSN
1330-3651
- Publication type
Article
- DOI
10.17559/TV-20191119153507