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Development of an aggregator for choosing the best forecasting method for groups of time series model. Also presented are the results of experiments on the application of the developed algorithm using
Modeling the Forecast of Economic Effects from the "digital Earth" Project Results Application for Digitalization of the Russian Federation (on the Example of Agricultural Sector at the Macro Level) is presented for forecasting the economic effect of the Earth remote sensing data utilization in precision
Application of a Multi-Model Fusion Forecasting Approach in Runoff Prediction: A Case Study of the Yangtze River Source Region developed the WT-NBEATSx forecasting model, integrating WT and NBEATSx. This model was further enhanced
Адаптация и применение современных технологий в анализе инфляционных тенденций as an assessment of their importance for ensuring economic stability and stimulating the development
ANALYSIS OF ANOMALOUS NATURAL GAS CONSUMPTION UNDER FLUCTUATING TEMPERATURE CONDITIONS USING METHODS OF NONLINEAR DYNAMICS of their work and economic losses. The Russian approach to gas consumption forecasting is based on the study
Использование динамической модели межотраслевого баланса для прогнозирования развития экономикиUsing the dynamic model of the intersectoral balance for forecasting the development of the economy
Forecasting energy consumption using machine learning: a case study of Kyrgyzstan using socioeconomic data crucial for both economic stability and sustainable development. This paper explores the application
Econometric methods for evaluating of open national innovative systems models. The leading approach to the study of this problem is the method of economic-mathematical modeling
Theoretical-methodological and economical-mathematical approaches to building model of non-observed economy of essential and conceptual approach to building economical-mathematical model of non-observed economy
Mechanisms and methods of statistical analysis and accounting of the phase shifts at cyclic development of economy in the conditions of increased uncertainty of institutional and market environment and forecasting, in particular, taxonomic method. There has been developed the diagnostic algorithm for cyclical
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