Results 11 to 20 of about 883,257 (272)

Comparative analysis on forecasting methods and how to choose a suitable one: case study in financial time series [PDF]

open access: yesMathematics and Modeling in Finance, 2023
Forecasting in the financial markets is vital for informed decision-making, risk management, efficient capital allocation, asset valuation, and economic stability. This study thoroughly examines forecasting techniques to predict the 30-day closing prices
Mahdi Goldani
doaj   +1 more source

A time series analysis for sales of chicken based food product [PDF]

open access: yes, 2021
This study provides a time series analysis and interpretation of the output for forecast sales of chicken based food product of weekly sales data. These data were collected directly from the outlet shop of one factory in Malacca started from January 2015
Alma, Ozlem Gurunlu   +5 more
core   +1 more source

Forecasting wind speed data by using a combination of ARIMA model with single exponential smoothing [PDF]

open access: yes, 2021
Wind serves as natural resources as the solution to minimize global warming and has been commonly used to produce electricity. Because of their uncontrollable wind characteristics, wind speed forecasting is considered one of the best challenges in ...
A. Rahman, Nur H.   +5 more
core   +1 more source

Load Forecasting Techniques for Power System: Research Challenges and Survey

open access: yesIEEE Access, 2022
The main and pivot part of electric companies is the load forecasting. Decision-makers and think tank of power sectors should forecast the future need of electricity with large accuracy and small error to give uninterrupted and free of load shedding ...
Naqash Ahmad   +3 more
doaj   +1 more source

Using the Mean Absolute Percentage Error for Regression Models [PDF]

open access: yesCoRR, 2015
We study in this paper the consequences of using the Mean Absolute Percentage Error (MAPE) as a measure of quality for regression models. We show that finding the best model under the MAPE is equivalent to doing weighted Mean Absolute Error (MAE) regression.
de Myttenaere, Arnaud   +3 more
openaire   +3 more sources

Prediction of Infectious Disease to Reduce the Computation Stress on Medical and Health Care Facilitators

open access: yesMathematics, 2023
Prediction of the infectious disease is a potential research area from the decades. With the progress in medical science, early anticipation of the disease spread becomes more meaningful when the resources are limited. Also spread prediction with limited
Shalini Shekhawat   +3 more
doaj   +1 more source

Metode Double Exponential Smoothing pada Sistem Peramalan Tingkat Kemiskinan Kabupaten Pangkep

open access: yesIlkom Jurnal Ilmiah, 2020
Peramalan adalah kegiatan memperkirakan kejadian yang akan terjadi berdasarkan historical data kuantitatif suatu kejadian. Peramalan sering digunakan oleh pemerintah dalam membuat suatu kebijakan.
Nur Almar' Atussaliha   +2 more
doaj   +1 more source

Forecasting of water intake and supply in water plant in Johor [PDF]

open access: yes, 2021
The safety and availability of water are important for public health, domestic use, food, and drink production process. Since water is essential in daily life, the demand for water intake and water supply are increasing. Moreover, it must be ensured that
Azli, Nor Amiratun Najwa   +2 more
core   +1 more source

Penerapan Metode Double Exponential Smoothing dan Moving Average pada Peramalan Permintaan Produk Gasket Cap di PT. Nesinak Industries

open access: yesJurnal Serambi Engineering, 2022
PT. Nesinak Industries is a company which focuses on the manufacturing process of an electronic component as well as automotive components (vehicle). In business activities, such as production, a strategy is required to survive in competition.
Muhammad Hafidh Kurniawan, Dene Herwanto
doaj   +1 more source

Tibial acceleration-based prediction of maximal vertical loading rate during overground running : a machine learning approach [PDF]

open access: yes, 2020
Ground reaction forces are often used by sport scientists and clinicians to analyze the mechanical risk-factors of running related injuries or athletic performance during a running analysis.
Davis, Jesse   +6 more
core   +1 more source

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