Results 31 to 40 of about 18,505 (291)

PERBANDINGAN METODE DOUBLE EXPONENTIAL SMOOTHING DAN TRIPLE EXPONENTIAL SMOOTHING PADA PERAMALAN NILAI EKSPOR DI INDONESIA

open access: yesJambura Journal of Probability and Statistics, 2022
Exports are a source of foreign exchange that can affect the level of the country's economy and become a benchmark in determining the quality of the country. The value of Indonesian exports expressed in US Dollars is a monthly fluctuating time series data.
openaire   +1 more source

ForChaos: Real Time Application DDoS detection using Forecasting and Chaos Theory in Smart Home IoT Network [PDF]

open access: yes, 2019
Recently, D/DoS attacks have been launched by zombie IoT devices in smart home networks. They pose a great threat to to network systems with Application Layer DDoS attacks being especially hard to detect due to their stealth and seemingly legitimacy.
Douligeris, C.   +2 more
core   +1 more source

APLIKASI METODE GOLDEN SECTION UNTUK OPTIMASI PARAMETER PADA METODE EXPONENTIAL SMOOTHING [PDF]

open access: yes, 2014
Forecasting is predicting the activities values that have been previously known. One of the methods that can be used to predict is Exponential Smoothing.
MAHKYA, DANI AL
core   +2 more sources

Are the Ultra-Faint Dwarf Galaxies Just Cusps? [PDF]

open access: yes, 2010
We develop a technique to investigate the possibility that some of the recently discovered ultra-faint dwarf satellites of the Milky Way might be cusp caustics rather than gravitationally self-bound systems.
Belokurov   +13 more
core   +1 more source

Forecasting Industrial Production Using Its Aggregated and Disaggregated Series or a Combination of Both: Evidence from One Emerging Market Economy

open access: yesEconometrics, 2022
In this paper, we address whether using a disaggregated series or combining an aggregated and disaggregated series improves the forecasting of the aggregated series compared to using the aggregated series alone.
Diogo de Prince   +2 more
doaj   +1 more source

ETHEREUM CRYPTOCURRENCY PRICE MOVEMENT PREDICTION SYSTEM USING TRIPLE EXPONENTIAL SMOOTHING METHOD

open access: yesInternational Journal of Social Science, Educational, Economics, Agriculture Research and Technology (IJSET), 2022
An innovation that was sparked is an alternative currency to replace conventional currency, namely digital currency that is secured using a cryptographic method called Cryptocurrency. However, cryptocurrency prices cannot be controlled, causing massive fluctuations. Cryptocurrency price changes are very stable due to several factors such as speculation
Novianda Novianda   +2 more
openaire   +2 more sources

PENERAPAN METODE TRIPLE EXPONENTIAL SMOOTHING UNTUK PERAMALAN CURAH HUJAN KOTA BOGOR

open access: yesJurnal MSA ( Matematika dan Statistika serta Aplikasinya), 2023
Kota Bogor disebut kota hujan sebab mempunyai intensitas curah hujan yang relatif tinggi. Namun terjadinya pemanasan global menyebabkan perubahan iklim tidak menentu sehingga menghambat suatu sektor melakukan produksi, salah satunya pertanian. Oleh karena itu, penelitian ini dilakukan peramalan jumlah curah hujan tahun 2021 di Kota Bogor.
null Adindach Syadza Rizkia   +3 more
openaire   +1 more source

Regression-SARIMA modelling of daily peak electricity demand in South Africa

open access: yesJournal of Energy in Southern Africa, 2017
In this paper, seasonal autoregressive integrated moving average (SARIMA) and regression with SARIMA errors (regression-SARIMA) models are developed to predict daily peak electricity demand in South Africa using data for the period 1996 to 2009.
Delson Chikobvu, Caston Sigauke
doaj   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

open access: yesAdvanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice   +2 more
wiley   +1 more source

Modeling and Forecasting Daily Hotel Demand: A Comparison Based on SARIMAX, Neural Networks, and GARCH Models

open access: yesForecasting, 2021
Overnight forecasting is a crucial challenge for revenue managers because of the uncertainty associated between demand and supply. However, there is limited research that focuses on predicting daily hotel demand.
Apostolos Ampountolas
doaj   +1 more source

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