Comparison of three time series forecasting methods on linear regression, exponential smoothing and weighted moving average

A Ajiono, T Hariguna - International Journal of Informatics and Information …, 2023 - ijiis.org
The purpose of this study is to compare the 3 forecasting methods Linear Regression,
Exponential Smoothing and Weighted Moving Average based on the smallest error value or …

Bluetooth‐Low‐Energy‐Based Fall Detection and Warning System for Elderly People in Nursing Homes

N De Raeve, A Shahid, M De Schepper… - Journal of …, 2022 - Wiley Online Library
Due to the ever growing population of elderly people, there is a dramatic increase in fall
accidents. Currently, multiple ideas exist to prevent the elderly from falling, by means of …

Comparison of simple moving average, single and modified single exponential smoothing

MHP Swari, IPS Handika… - 2021 IEEE 7th …, 2021 - ieeexplore.ieee.org
Various forecasting algorithms have been investigated in various cases. Forecasting is an
important activity, especially in the sales area. Accurate sales forecasting is a support …

Forecasting electric vehicle sales with arima and exponential smoothing method: The case of india

S Dhankhar, N Dhankhar, V Sandhu… - … in Develo** Economies, 2024 - Springer
The vehicle industry has shown rapid sales growth in recent years due to which the problem
of carbon dioxide (CO2) emissions is increasing continuously, to address this issue, electric …

Understanding Web Application Workloads and Their Applications: Systematic Literature Review and Characterization

R Aghili, Q Qin, H Li, F Khomh - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Web applications, accessible via web browsers over the Internet, facilitate complex
functionalities without local software installation. In the context of web applications, a …

Multiple crop yield estimation and forecasting using MERRA-2 model, satellite-gauge and MODIS satellite data by time series and regression modelling approach

P Kumar, A Choudhary, PK Joshi, R Prasad… - Geocarto …, 2022 - Taylor & Francis
Multiple crop yield estimation and forecasting have become essential because climate
change and land degradation are deteriorating production of crops. The present study …

Forecasting acceptance of new students using double exponential smoothing method

S Parasian, H Hidayatulah… - Journal of Critical …, 2020 - eprints.upnyk.ac.id
Forecasting is the activity of estimating what will happen in the future. There are several
methods that can be used in the forecasting process, including double exponential …

[PDF][PDF] The effect of gross domestic product and population growth on CO2 emissions in Indonesia: An application of the ant colony optimisation algorithm and cobb …

W Albra, T Zulham, I Majid, J Saputra, B Subartini… - International Journal of …, 2019 - zbw.eu
Gross domestic product (GDP) is one indicator for measuring a country's economic growth.
However, the increase in GDP and population growth are affecting CO2 emissions. This …

A new model for learning-based forecasting procedure by combining k-means clustering and time series forecasting algorithms

KD Hartomo, Y Nataliani - PeerJ Computer Science, 2021 - peerj.com
This paper aims to propose a new model for time series forecasting that combines
forecasting with clustering algorithm. It introduces a new scheme to improve the forecasting …

Penerapan metode single exponential smoothing dalam peramalan penjualan benang

R Risqiati - Smart Comp: Jurnalnya Orang Pintar …, 2021 - ejournal.poltekharber.ac.id
Ada banyak sekali persaingan dagang yang terjadi dalam penjualan benang. Makin
banyaknya kompetitor yang ada membuat berbagai perusahaan harus siap dalam segala …