Results 41 to 50 of about 145,010 (267)

Past and Future of Sustainability Indicator Research in Agribusiness: A Bibliometric and Forecasting Analysis

Business Strategy and the Environment, EarlyView.
ABSTRACT This study offers a forward‐looking assessment of sustainability indicator research in agribusiness by integrating bibliometric mapping with ARIMA‐based forecasting. Analysing 403 Scopus‐indexed articles, bibliographic‐coupling analysis identifies three contemporary thematic domains: Techno‐Managerial Sustainability, Systemic and ...
Marcelo Kratz Mendes, Olga Cam, Aurora Carneiro Zen, Roger de Bem Jaeger, Daniela Callegaro‐de‐Menezes, Juliana Matos de Meira   +5 more
wiley   +1 more source

Shaking Table Tests and Numerical Analysis of Rocking Vault‐Shaped Segmental Piers Equipped With an Annular Double Sliding System

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT To enhance the structural robustness of bridges, a rocking arch‐shaped segmental pier with a double sliding system was previously proposed as a low‐cost solution to protect bridges in developing countries. The rocking behavior is triggered by halting the sliding motion, which increases the horizontal load‐bearing capacity and limits ...
Shengming Feng, Mitsuyoshi Akiyama, Shintaro Kobayashi, Ryosuke Kato, Elisa Vitolo, Hirokazu Takahashi, Shun Arima   +6 more
wiley   +1 more source

A Hybrid of Box-Jenkins ARIMA Model and Neural Networks for Forecasting South African Crude Oil Prices

International Journal of Financial Studies
The current study aims to model the South African crude oil prices using the hybrid of Box-Jenkins autoregressive integrated moving average (ARIMA) and Neural Networks (NNs).
Johannes Tshepiso Tsoku, Daniel Metsileng, Tshegofatso Botlhoko   +2 more
doaj   +1 more source

Energy Consumption and CO2 Emissions Forecasting of Transport Sector Using Machine Learning

Energy Science &Engineering, EarlyView.
The transport sector accounts for approximately one‐quarter of Iran's final energy consumption. The energy demand in this sector has the least variation, with petroleum products accounting for more than 85% of the demand. Furthermore, the accelerated growth of energy consumption and the sector's reliance on fossil fuels, which are the main cause of ...
Amir Hossein Akbari, Seyyed Mohammad Hashemi, Meisam Farajollahi   +2 more
wiley   +1 more source

PEMODELAN AUTOREGRESSIVE FRACTIONALLY INTEGRATED MOVING AVERAGE (ARFIMA) UNTUK AKTIVITAS CURAH HUJAN DI KOTA MEDAN

Jurnal Lebesgue
The Autoregressive Fractionally Integrated Moving Average (ARFIMA) model is a development of the ARIMA model with the differencing values ​​being fractional numbers.
Muhammad Reja Sinaga, Sutarman Sutarman, Fibri Rakhmawati   +2 more
doaj   +1 more source

Prediction Intervals for ARIMA Models [PDF]

Journal of Business & Economic Statistics, 2001
The problem of constructing prediction intervals for linear time series (ARIMA) models is examined. The aim is to find prediction intervals which incorporate an allowance for sampling error associated with parameter estimates. The effect of constraints on parameters arising from stationarity and invertibility conditions is also incorporated.
Snyder, Ralph D., Ord, J. K., Koehler, A. B.   +2 more
openaire   +1 more source

Bootstrap predictive inference for ARIMA processes [PDF]

, 2004
In this study, we propose a new bootstrap strategy to obtain prediction intervals for autoregressive integrated moving-average processes. Its main advantage over other bootstrap methods previously proposed for autoregressive integrated processes is that ...
Pascual, Lorenzo, Romo, Juan, Ruiz, Esther   +2 more
core   +2 more sources

Daily Residential Natural Gas Demand Forecasting Using Machine Learning Regression: Comparative Evaluation With a Case Study in Qazvin Province, Iran

Energy Science &Engineering, EarlyView.
This graphical abstract summarizes the proposed framework for improving short‐term residential natural gas consumption forecasting by integrating a novel socioeconomic indicator, the subscription growth ratio (SGR), with conventional meteorological variables.
Ali Pirzad, Mostafa Khanzadi
wiley   +1 more source

Analyzing covid-19 outbreak for turkey and eight country with curve estimation models, box-jenkins (arima), brown linear exponential smoothing method, autoregressive distributed lag (ardl) and seir models [PDF]

Eurasian Journal of Veterinary Sciences, 2020
Aim: This study is conducted to inform communities and governments about the spread of the COVID-19 pandemic in selected countries: Turkey, Germany, the United Kingdom, France, Italy, Russian, Canada, and Japan.
Mustafa Agah Tekindal, Harun Yonar, Aynur Yonar, Melike Tekindal, Mustafa Bahadır Çevrimli, Hasan Alkan, Zekeriya Safa İnanç, Burak Mat   +7 more
doaj  

Environmental Control for Edible Fungi Cultivation Based on Temporal Information and Deep Learning

Food Bioengineering, EarlyView.
ABSTRACT Currently, there are still prevalent issues in greenhouse environmental regulation, such as response lag, low control accuracy, and difficulty in coping with sudden environmental disturbances. To achieve high‐precision and dynamic control of the edible fungi cultivation environment, this study proposes an edible fungi environmental control ...
Xiangyan Wang, Shuangcheng Huang, Qingbo Lu, Xinyi Guo   +3 more
wiley   +1 more source