Results 51 to 60 of about 11,326 (149)

Forecasting fashion retail sales in Brazil: a case study before, during and after COVID-19 [PDF]

REGE Revista de Gestão
PurposeThis study analyzes the sales behavior of a Brazilian fashion retailer before, during, and after the COVID-19 pandemic, aiming to generate short-term forecasts using machine learning models.
André Garcia Padilha, Veridiana Rotondaro Pereira, Orlando Yesid Esparza Albarracin   +2 more
doaj   +1 more source

Another Look at Measures of Forecast Accuracy [PDF]

We discuss and compare measures of accuracy of univariate time series forecasts. The methods used in the M-competition and the M3-competition, and many of the measures recommended by previous authors on this topic, are found to be inadequate, and many of
Anne B. Koehler, Rob J. Hyndman
core  

Day-ahead electricity price forecasting using artificial intelligence-based algorithms

, 2023
2023 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies, 3ICT 2023 -- 20 November 2023 through 21 November 2023 -- Virtual, Online -- 196787Deregulation and privatization of electricity markets has ...
Saribulut, Lutfu, Ozbek, Necdet Sinan, Yorat, Emre, Zor, Kasim   +3 more
core   +1 more source

Performance of Holt-Winters exponential smoothing method in forecasting Indonesian inflation levels

Majalah Ilmiah Matematika dan Statistika
Forecasting inflation data is an important part of economic decision making. Periodic updates are needed considering changes in external factors that affect the inflation rate.
Agista Marshanda, Harmi Sugiarti
doaj   +1 more source

How to Estimate Forecasting Quality: A System-Motivated Derivation of Symmetric Mean Absolute Percentage Error (SMAPE) and Other Similar Characteristics

, 2014
When comparing how well different algorithms forecast time series, researchers use an average value of the ratio jx yj (jxj+ jyj)=2, known as the Symmetric Mean Absolute Percentage Error (SMAPE).
Ouncharoen, Rujira, Vladik Kreinovich, Hung T. Nguyen, Rujira Ouncharoen, Kreinovich, Vladik, Nguyen, Hung T.   +5 more
core  

Discriminatory performance of error metrics in selected Non-linear models

, 2017
MCom (Statistics), North-West University, Mafikeng CampusThe purpose of this study is to determine the discriminatory performance of the error metrics on two non-linear models, specifically the Markov Switching Autoregressive (MS-AR) models and the ...
Moitse, Nthabiseng Charmaine
core  

An empirical analysis for the prediction of a financial crisis in Turkey through the use of forecast error measures

, 2015
In this study, we try to examine whether the forecast errors obtained by the ANN models affect the breakout of financial crises. Additionally, we try to investigate how much the asymmetric information and forecast errors are reflected on the output ...
Cavdar, Seyma Caliskan, Seyma Cavdar, Aydin, Alev Dilek, Alev Aydin   +3 more
core   +1 more source

The Development of a Hybrid Model for Forecasting Time Series Data of Monthly Household Electrical Distribution Units of People in the Northeast, Thailand

, 2020
การวิจัยครั้งนี้มีวัตถุประสงค์เพื่อพัฒนาตัวแบบที่เหมาะสมในการพยากรณ์ข้อมูลอนุกรมเวลาปริมาณหน่วยจำหน่ายไฟฟ้าบ้านอยู่อาศัยรายเดือนของประชาชนในเขตภาคตะวันออกเฉียงเหนือ เก็บรวบรวมข้อมูลจากการไฟฟ้าส่วนภูมิภาคตั้งแต่เดือนมกราคม 2552 ถึงเดือนพฤษภาคม 2562 จำนวน ...
Sutthison, Thanakon; Applied Statistics Program, Faculty of Science, Ubon Ratchathani Rajabhat University, Udon Thani, Haruay, Surat; Community Health Program, Faculty of Public Health, Ubon Ratchathani Rajabhat University, Udon Thani   +1 more
core   +1 more source

Correlation-based feature selection and parallel spatiotemporal networks for efficient passenger flow forecasting in metro systems [PDF]

This paper presents a novel framework for predicting metro passenger flow that is both interpretable and computationally efficient. The proposed method first uses a correlation-based spatiotemporal feature selection strategy (Cor-STFS) to identify the ...
Zhan, S., Lin, Z., Xiu, C., Peng, Q., Wong, S.C., Pan, J.   +5 more
core   +1 more source

Evaluating The Accuracy of Gridded Climate Datasets for Precipitation, Surface Air Temperature, and Sea Surface Temperature in Central Java, Indonesia

Indonesian Journal of Applied Physics
Studies of climate information that rely on accurate and reliable data are essential in hydrometeorological monitoring, early warning, and climate change impacts in areas with varied topography and limited observation data, such as Central Java ...
Iis Widya Harmoko, Muhammad Zainuri, Anindya Wirasatriya, Supari Supari   +3 more
doaj   +1 more source