Results 11 to 20 of about 145,010 (267)

Modeling Data Containing Outliers using ARIMA Additive Outlier (ARIMA-AO) [PDF]

open access: yesJournal of Physics: Conference Series, 2018
The aim this study is discussed on the detection and correction of data containing the additive outlier (AO) on the model ARIMA (p, d, q). The process of detection and correction of data using an iterative procedure popularized by Box, Jenkins, and Reinsel (1994). By using this method we obtained an ARIMA models were fit to the data containing AO, this
Ahmar, Ansari Saleh   +26 more
openaire   +5 more sources

Peak Electrical Energy Consumption Prediction by ARIMA, LSTM, GRU, ARIMA-LSTM and ARIMA-GRU Approaches

open access: yesEnergies, 2023
Forecasting peak electrical energy consumption is important because it allows utilities to properly plan for the production and distribution of electrical energy. This reduces operating costs and avoids power outages. In addition, it can help reduce environmental impact by allowing for more efficient power generation and reducing the need for ...
Babiga Birregah
exaly   +5 more sources

Evaluating Cardiovascular Disease (CVD) risk scores for participants with known CVD and non-CVD in a multiracial/ethnic Caribbean sample [PDF]

open access: yesPeerJ, 2020
Background Cardiovascular Disease (CVD) risk prediction models have been useful in estimating if individuals are at low, intermediate, or high risk, of experiencing a CVD event within some established time frame, usually 10 years.
Amalia Hosein   +3 more
doaj   +2 more sources

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

PENERAPAN METODE AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA) UNTUK PREDIKSI BILANGAN SUNSPOT

open access: yesBarekeng, 2021
Peristiwa magnetik pada matahari ditandai dengan salah satu tanda yaitu munculnya sunspot atau bintik matahari. Sunspot terletak di fotosfer matahari yang memiliki warna lebih gelap dari pancaran sekitarnya.
Felia Dria Yuliawanti   +4 more
doaj   +1 more source

Peramalan Harga Emas Saat Pandemi Covid-19 Menggunakan Model Hybrid Autoregressive Integrated Moving Average - Support Vector Regression

open access: yesJambura Journal of Mathematics, 2021
ABSTRAK Investasi emas merupakan salah satu investasi yang menjadi favorit dimasa pandemi Covid 19 seperti sekarang ini. Hal ini dikarenakan harga emas yang nilainya relatif fluktuatif tetapi menunjukkan tren peningkatan.
Drajat Indra Purnama
doaj   +1 more source

An Application of Hybrid Models for Weekly Stock Market Index Prediction: Empirical Evidence from SAARC Countries

open access: yesComplexity, 2021
The foremost aim of this research was to forecast the performance of three stock market indices using the multilayer perceptron (MLP), recurrent neural network (RNN), and autoregressive integrated moving average (ARIMA) on historical data.
Zhang Peng   +6 more
doaj   +1 more source

Analysis of time series for Malaysian currency exchange rate to the United States currency [PDF]

open access: yes, 2021
Currency exchange rate is one of the external factors that will affect the financial status of Malaysia. Therefore, forecasting the foreign currency exchange rate is important for the financial decision makers, bankers, academic researchers and business ...
Che Him, Norziha   +4 more
core   +1 more source

APPLICATION OF TIME SERIES ANALYSIS IN FORECASTING COAL PRODUCTION AND CONSUMPTION IN THE PHILIPPINES

open access: yesICTACT Journal on Soft Computing, 2022
Energy is the backbone of a country’s economic and technological development. For a country to be competitive in the global market and secure sustainable development, energy must be efficiently used.
Samuel John E. Parreño
doaj   +1 more source

TRANSFER FUNCTION AND ARIMA MODEL FOR FORECASTING BI RATE IN INDONESIA

open access: yesBarekeng, 2023
Fluctuating gold prices can have an impact on various sectors of the economy. Some of the impacts of rising and falling gold prices are inflation, currency exchange rates, and the value of the Bank Indonesia benchmark interest rate (BI Rate).
Khusnia Nurul Khikmah   +2 more
doaj   +1 more source

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