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Abstract. The evaluation of forecast accuracy is one of the key instruments for assessing the reliability and practical value of analytical models applied by various institutions in the field of macroeconomic forecasting...

This paper attempts to design statistical models to forecast annual precipitation in the Neuquen and Limay river basins in the Comahue region of Argentina. These forecasts are especially useful as they are used to better...

Abstract Faculty hiring shapes the flow of ideas, resources, and opportunities in academia, influencing not only individual career trajectories but also broader patterns of institutional prestige and scientific progress....

In this study the instantaneous values of the total solar radiation find dropping on the horizontal surface foe Bani-Waleed town were measured using solar cell (6,25 xlO"' m ) apparatus, at every hour of the day (luring ...

Carbon allowances constitute a foundational component of national carbon emission control frameworks, as they govern the equitable distribution of subsequent allocations and directly shape the overall effectiveness of gr...

INTRODUCTION: With the rapid growth of offshore wind power integration and increasing wind power penetration, accurate power forecasting has become essential for maintaining grid stability and supporting economic dispatc...

The article focuses on a comprehensive analysis and forecast of Ukraine’s foreign policy amid the profound transformations of the international system in the early 21st century. It explores the main trends, influencing...

Accurate traffic flow prediction is of great significance for urban planning and traffic management. Among existing methods, researchers have shown remarkable progress by utilizing spatiotemporal networks. Unfortunately,...

Abstract River water quality forecasting on directed river networks requires jointly modeling temporal dynamics and directional spatial dependencies among monitoring sites. Existing spatio-temporal models often emphasize...

INTRODUCTION: High renewable energy penetration introduces significant uncertainties in distribution networks, posing challenges for source-load power forecasting and voltage management. OBJECTIVES: This study aims to e...

Abstract Financial time series forecasting is traditionally based on historical price patterns, often overlooking exogenous and behavioral variables that can significantly affect market movements. In this study, we enhan...

Abstract Air-conditioning load forecasting is important for building energy scheduling and control. The task is difficult because load data show clear periodic patterns, and sudden changes caused by events such as holida...

Abstract Bunker fuel prices constitute a major component of maritime transport costs, representing 30–70% of total operating expenses and critically influencing competitiveness, planning, and regulatory compliance in g...

Objek penelitian pada penulisan ini merupakan sebuah perusahaan asing yang membangun cabang produksi di dalam wilayah Indonesia, Jawa Timur. Perusahaan tersebut memproduksi produk sabun kesehatan maupun sabun kecantikan ...

This research focuses on developing a neural network model in the Python programming language to solve the technological problem of forecasting potato yields with limited agroclimatic data. The developed program is consi...

The article considers strategic modeling of the competitive capabilities of tourism companies in a dynamic market. The purpose is to design an effective model for assessing competitiveness, using materials from the case ...

Thermoelectric generators offer a promising solution for sustainable, low-maintenance energy harvesting in smart agriculture, especially for powering off-grid sensor nodes and microgrid systems. However, their inherently...

Background: Latent tuberculosis infection (LTBI) remains a critical reservoir for the global tuberculosis (TB) epidemic, particularly in South Asia, where high population density and socioeconomic disparities amplify its...

Objective To characterise temporal trends in antiretroviral therapy (ART) utilisation and forecast short-term changes in regimen distribution within a provincial HIV treatment programme.Design Population-level longitudin...

Unmanned surface vehicles (USVs) operating in open-sea environments experience significant roll motion due to wave-induced excitation. The dynamic roll response depends on various factors, including vessel speed, wave en...

Subsurface temperature uncertainty represents a major risk in geothermal drilling, particularly in volcanic systems where permeability, lithology, and fluid circulation create highly heterogeneous thermal regimes. This s...

Based on the analysis of media reports in January–February 2022 (up to 02/24/2022), the article reveals which forecasts of an all-out Russian invasion were prevalent before its beginning. Quantitative and qualitative a...

Inferência Bayesiana do modelo auto-regressivo foi aplicado para dados em painel a dados reais de DEP´s de touros da raça Nelore publicadas entre 2000 e 2005. Na análise foram consideradas a função de verossimilhan...

Predicting electrical power loads in industrial parks is challenging due to the uncertainty and variance in model construction. This paper proposes an interval forecasting approach based on a residual-form CNN-BiLSTM, wh...