Search Results - "Box-Jenkins forecasting"

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.

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.

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

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

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

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

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 innovation status and trends with ARIMA analysis and Linear Trend Model in the European Union.

Authors: Török, László¹, dr.torok.laszlo@eng.unideb.hu

Source: International Review of Applied Sciences & Engineering; 2026, Vol. 17 Issue 1, p1-12, 12p

Combining Deep Learning and Statistical Models: LSTM-ARIMA Ensemble for Financial Forecasting.

Authors: Jadhav, Pratibha Vijay Krishnan, Sivaneasan Bala Dey, Rajesh et al.

Source: IAENG International Journal of Computer Science; Jan2026, Vol. 53 Issue 1, p236-246, 11p

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

Forecasting of Maize Yield in Bihar through Auto Regressive Integrated Moving Average (ARIMA) Models.

Authors: H., Girijaswathi Kumar, Mahesh Kumari, Aarti et al.

Source: International Journal of Bio-Resource & Stress Management. Jan2026, Vol. 17 Issue 1, p1-8. 8p.

BEEF PRICE FORECAST: AN APPLICATION ON TÜRKİYE.

Authors: FİDAN, Nihat ŞAHİNLİ, Mehmet Arif

Source: Scientific Papers Series Management, Economic Engineering in Agriculture & Rural Development. 2025, Vol. 25 Issue 4, p391-396. 6p.

Subjects: Box-Jenkins forecasting, Trend analysis, Time series analysis, Forecasting, Beef industry, Least squares

Geographic Terms: Türkiye