Search Results - "Box-Jenkins forecasting"

Modeling and forecasting bitumen sales using univariate and multivariate time series approaches: a case study of Algeria's NAFTAL corporation.

Alternate Title: نمذجة وتنبؤ مبيعات الزفت باستخدام أساليب السلاسل الزمنية أحادية المتغير ومتعددة المتغي ا رت: د ا رسة حالة مجمع نفطال الج ا زئر ي

Authors: Bouzir, Youssouf Baranon, Mouhamadou Djima Ishag, Mohamed Adam Suliman et al.

Source: Dirassat Journal Economic Issue. 2026, Vol. 17 Issue 2, p45-60. 16p.

Multi-Indicator Forecasting of Road Freight Transport Workload for Operational Planning.

Authors: Konwerski, Jakub Ziółkowski, Jarosław

Source: Applied Sciences (2076-3417); Jul2026, Vol. 16 Issue 13, p6392, 28p

Visual Analytics-Driven Framework for Retail Demand Forecasting Using Advanced Time Series Modeling.

Authors: VARSHITHA, VANGARA Babu, G. V. Ramesh

Source: Journal of Computational Analysis & Applications; 2026, Vol. 35 Issue 6, p50-57, 8p

Wind speed prediction and energy estimation using the SARIMA method in Banyumas Regency.

Authors: Yuniarto, Abdul Hakim Prima Nawangnugraeni, Devi Astri Admaja, Rafif Aldo et al.

Source: International Journal of Electrical & Computer Engineering (2088-8708); Jun2026, Vol. 16 Issue 3, p1425-1433, 9p

Predicting Tuberculosis Trends in India: A Comparative Study of Time Series Models.

Authors: R., Varadharajan V. S., Jaya Darsini Balakrishnan, Mohan et al.

Source: Advances in Mathematical Physics; 4/17/2026, Vol. 2026, p1-11, 11p

2017-2024年贵州省蘑菇中毒流行特征及 SARIMA-SVR模型预测研究.

Alternate Title: A study on the epidemiological characteristics and SARIMA - SVR model prediction of mushroom poisoning in Guizhou Province from 2017 to 2024.

Authors: 黄帅 邹朝飞 胡燕榕 et al.

Source: Modern Preventive Medicine. Apr2026, Vol. 53 Issue 8, p1488-1493. 6p.

Forecasting Carbon Dioxide Emissions in Greece Under Decarbonization: Evidence from an ARIMA Time Series Model.

Authors: Apostolos, Tranoulidis¹ (AUTHOR)

Source: World (2673-4060). Apr2026, Vol. 7 Issue 4, p52. 20p.

Rebar Price Prediction in Guangzhou, China: A Comparison of Statistical, Machine Learning and Hybrid Models.

Authors: Zhao, Jiangnan Dai, Xiaomin Gao, Peng et al.

Source: Buildings (2075-5309); Mar2026, Vol. 16 Issue 5, p905, 43p

Time History–Based Forecasting Model on Bathymetric Depth Predictions.

Authors: Marangoz, Hasan Oğulcan

Source: Journal of Coastal Research; 2026, Vol. 42 Issue 2, p287-301, 15p

Forecasting Bitcoin Price Movements: Evidence on Memory, Path Dependence and Persistence.

Authors: CHIKHI, Mohamed DIEBOLT, Claude MISHRA, Tapas et al.

Source: Finance a Uver: Czech Journal of Economics & Finance. 2026, Vol. 76 Issue 1, p54-86. 33p.

ANALYZING TÜRKİYE'S FINTECH INVESTMENT FUTURE WITH ARIMA APPROACH.

Alternate Title: ARIMA YAKLAŞIMIYLA TÜRKİYE'NİN FİNTEK YATIRIM GELECEĞİNİN ANALİZİ.

Authors: Zengin, Bekir¹ bekirzengin@tarsus.edu.tr

Source: Cumhuriyet University Journal of Economics & Administrative Sciences / Cumhuriyet Üniversitesi İktisadi ve İdari Bilimler Dergisi. 2026, Vol. 27 Issue 1, p24-37. 14p.

Pronóstico del IVA de grandes contribuyentes mediante un modelo estacionario lineal.

Alternate Title: VAT Forecast for Large Taxpayers Using a Linear Stationary Model.
Previsão do IVA dos grandes contribuintes através de um modelo estacionário linear.

Authors: Galarza Molina, Erick Baculima Cuesta, Patricio Loja Villalta, Alfredo et al.

Source: Estudios de la Gestión. ene-jun2026, Issue 19, p75-102. 28p.

Sales Prediction in Omnichannel Distribution Systems Based on Consumer Behavior Using Process Mining and ARIMAX.

Authors: Tridalestari, Ferra Arik Mustafid, Mustafid Jie, Ferry et al.

Source: Applied Computational Intelligence & Soft Computing; 2/24/2026, Vol. 2026, p1-26, 26p

T-LSTM: A Novel Model for High-Precision Wind Power Prediction by Integrating Transformer and Improved LSTM.

Authors: Zhong, Qin Wang, Long Huang, Chao

Source: Applied Sciences (2076-3417); Feb2026, Vol. 16 Issue 3, p1609, 22p

Detection of Non-Technical Losses in Electrical Metering Systems in Northern Lima Using Predictive Modeling and Business Intelligence.

Authors: Perez, Dayanna Flores, Miguel Castaneda, Pedro et al.

Source: Engineering, Technology & Applied Science Research; Feb2026, Vol. 16 Issue 1, p31624-31631, 8p

Research Topic Identification and Trend Forecasting of Blockchain in the Construction Industry: Based on LDA-ARIMA Combined Method.

Authors: Xu, Yongshun Zhang, Zhongyuan Lee, Cen-Ying et al.

Source: Buildings (2075-5309); Jan2026, Vol. 16 Issue 2, p254, 24p

Time Series Analysis of Voting Patterns for General Elections using ARIMA and XAI.

Authors: Kakulapati, Vijayalakshmi K., Vaishnavi B., Rashmitha et al.

Source: Grenze International Journal of Engineering & Technology (GIJET); Jan2026, Vol. 12 Issue Part2, p3739-3744, 6p

A Comparative Study of Sentiment-Driven Intelligent Systems using FinBERT.

Authors: Singh, Vibhor Rahul

Source: Grenze International Journal of Engineering & Technology (GIJET); Jan2026, Vol. 12 Issue Part2, p1616-1627, 12p

Authors: Osho, Gbolahan Solomon Ojumu, Oluwagbemiga Tandon, Sudhir et al.

Source: Journal of Applied Business & Economics. 2026, Vol. 28 Issue 1, p105-123. 19p.

Subject Terms: *Monte Carlo method, *Petroleum sales & prices, *Time series analysis, *Economic forecasting, *Box-Jenkins forecasting, *Petroleum industry, *Petroleum production, Petroleum

Geographic Terms: Nigeria

Forecasting the Production of Construction Waste and Evaluating the Economic Value of Resource Utilization.

Authors: Wang, Yulin Mu, Xianzhong Hu, Guangwen et al.

Source: Buildings (2075-5309); Jan2026, Vol. 16 Issue 1, p13, 40p