Results 101 to 110 of about 412,561 (324)

Topological Properties of International Commodity Market: How Uncertainty Affects the Linkages?

Agribusiness, EarlyView.
ABSTRACT The study aims to explore the network topology of the international commodity market by examining the interconnections among 21 commodity futures across various categories, including energy, precious and industrial metals, and agriculture. We analyze the market structure of these commodity futures under both low and high uncertainty conditions
Ibrahim Yagli, Bayram Deviren
wiley   +1 more source

Enhancing Sales Performance through ARIMA-Based Predictive Modeling: Insights and Applications Model

Journal of Information Systems and Informatics
Gociko Snack, a Micro, Small, and Medium Enterprise (MSME), often faces significant challenges in managing its inventory due to the unpredictable nature of market demand.
Dwi Hartanti, Hanifah Permatasari
doaj   +1 more source

Kebijakan Berbasis Data: Analisis dan Prediksi Penyebaran COVID-19 di Jakarta dengan Metode Autoregressive Integrated Moving Average (ARIMA)

Jurnal Sistem Cerdas, 2020
Data dan informasi merupakan bagian penting dalam pertimbangan mengambil keputusan terkait penanganan COVID-19. Data COVID-19 baik demografi maupun agregat di Provinsi DKI Jakarta diolah dan dianalisis untuk memberikan informasi mengenai situasi dan ...
Hansen Wiguna, Yudhistira Nugraha, Farizah Rizka R, Ayub Andika, Juan Intan Kanggrawan, Alex L. Suherman   +5 more
semanticscholar   +1 more source

An integrated scheduling and control scheme with two economic layers for demand side management of chemical processes

AIChE Journal, EarlyView.
Abstract Integrated dynamic scheduling (IDS) and economic nonlinear model predictive control (eNMPC) enable economic operation of chemical plants subject to volatile energy prices. Herein, we combine the two concepts into an integrated two‐layer scheme. Therein, IDS performs “long‐horizon” scheduling on a day‐ahead (DA) market and eNMPC “short‐horizon”
Jan C. Schulze, Chrysanthi Papadimitriou, Paul Kolmer, Alexander Mitsos   +3 more
wiley   +1 more source

Improving Daily Peak Flow Forecasts Using Hybrid Fourier-Series Autoregressive Integrated Moving Average and Recurrent Artificial Neural Network Models

Applied Informatics, 2020
In multi-purpose reservoirs, to achieve optimal operation, sophisticated models are required to forecast reservoir inflow in both short- and long-horizon times with an acceptable accuracy, particularly for peak flows.
M. E. Banihabib, R. Bandari, M. Valipour
semanticscholar   +1 more source

Applied Artificial Intelligence in Materials Science and Material Design

Advanced Intelligent Systems, EarlyView.
AI‐driven methods are transforming materials science by accelerating material discovery, design, and analysis, leveraging large datasets to enhance predictive modeling and streamline experimental techniques. This review highlights advancements in AI applications across spectroscopy, microscopy, and molecular design, enabling efficient material ...
Emigdio Chávez‐Angel, Martin Børstad Eriksen, Alejandro Castro‐Alvarez, Jose H. Garcia, Marc Botifoll, Oscar Avalos‐Ovando, Jordi Arbiol, Aitor Mugarza   +7 more
wiley   +1 more source

APLIKASI PERENCANAAN PEMBELIAN BARANG PADA PERUSAHAAN MANGGALA MOTOR DENGAN MENGGUNAKAN METODE ARIMA

Jurnal Informatika, 2009
Manggala Motor is a vehicles selling company. Occasionally the company lacks goods stock so that it can not obtain maximal profit because the customer needs can not be compiled by the company directly.
Yulia ., Tanti Octavia, Danny Wijaya
doaj  

Forecasting air quality index data with autoregressive integrated moving average models

EQA
Air pollution arises from several sources, encompassing industrial, transportation, and home activities, and carries significant implica- tions for environmental health. High population mobility in a place, such as Jakarta, might exacerbate air pollution.
Arie Vatresia, Ridha Nafila, Winalia Agwil, Ferzha Utama, Maryam Shehab   +4 more
doaj   +1 more source

modelling event related oscillations by autoregressive integrated moving average

, 2004
Öz bulunamadı.
Erzengin, OU, Sumbuloglu, V, Karakas, S
openaire   +4 more sources

A Novel Anomaly Forecasting in Time‐Series Data: Feedback Connection between Forecasting and Detecting Algorithms with Applications to Power Systems

Advanced Intelligent Systems, EarlyView.
This article develops a novel feedback structure for machine learning‐based anomaly forecasting, by which both forecasting the future states and detecting the anomalies in these states can be achieved at the same time. The algorithm is shown to be applicable to power systems, verifying its effectiveness in detecting potential faults before they occur ...
Hyung Tae Choi, Hae Yeon Park, Taewan Kim, Jung Hoon Kim   +3 more
wiley   +1 more source