+2 MM articles scientifics and academics

63.481 Articles

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Probabilistic forecasting of ionospheric scintillation and GNSS receiver signal tracking performance at high latitudes

Paul Prikryl,Veettil Sreeja,Marcio Aquino,Periyadan T. Jayachandran

At high latitudes, phase scintillation occurs predominantly on the dayside in the ionospheric footprint of the magnetospheric cusp, and in the nightside auroral oval. A new technique of probabilistic forecasting of phase scintillation occurrence relative ... see more

Scintillation | Space weather forecasting | GNSS tracking performance

Annals of Geophysics , 2013

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Short-Term Load Forecasting Using Artificial Neural Network in Indonesia Sylvia Jane Annatje Sumarauw(1) (1) Universitas Negeri Manado () Corresponding Author

Short-term Load Forecast (STLF) is a load forecasting that is very important to study because it determines the operating pattern of the electrical system. Forecasting errors, both positive and negative, result in considerable losses because operating cos... see more

Short-Term Load Forecast | Artificial Neural Network | Forecasting Performance | State Electricity Company

ILKOM Jurnal Ilmiah , 2023

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Optimization of Performance Traditional Back-propagation with Cyclical Rule for Forecasting Model

Anjar Wanto, Ni Luh Wiwik Sri Rahayu Ginantra, Surya Hendraputra, Ika Okta Kirana, Abdi Rahim Damanik

The traditional Back-propagation algorithm has several weaknesses, including long training times and significant iterations to achieve convergence. This study aims to optimize traditional Back-propagation using the cyclical rule method to cover these weak... see more

Cyclical rule | Forecasting Model | Machine learning | Optimization | Traditional Back-propagation

MATRIK : Jurnal Manajemen; Teknik Informatika dan Rekayasa Komputer , 2022

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Assessing Forecasting Performance of Daily Mean Temperature at 1st and 2nd Perak Station, Surabaya Using ARIMA and VARIMA Model with Outlier Detection DOI : 10.34312/jjom.v4i1.11975 | Abstract views : 144 times

Taly Purwa,Barbara Ngwarati

Air temperature is an important data for several sectors. The demand of fast, exact and accurate forecast on temperature data is getting extremely important since it is useful for planning of several important sectors. In order to forecast mean daily temp... see more

Daily Temperature | Forecasting | Multivariate Time Series | Outlier Detection | Vector Autoregression

Jambura Journal of Mathematics , 2022

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Forecasting future performance of irrigation schemes: The case of Bergama

Sinan Kartal

Potential outputs of irrigation should be put forth to improve the yields in agricultural practices. Available water resources should efficiently be used to improve yields and inputs should be minimized. Performance assessment of irrigation schemes is an ... see more

Irrigation | Irrigation performance | Irrigation scheme | Time-series-forecasting | Performance indicators

Turkish Journal of Agriculture: Food Science and Technology , 2021

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Method of individual forecasting of sow reproductive performance on the basis of a non-linear canonical model of a random sequence

I. P. Atamanyuk, V. Y. Kondratenko, A. S. Kramarenko, O. E. Novikov, V. Y. Lykhach

Improvement of sow reproductive performance is a key factor determining the efficiency of the pig production cycle and profitability of pork production. This article presents the solution of an important scientific and practical problem of individual fore... see more

pig | individual forecasting of sow reproduction | non-linear canonical model of the random sequence

Biosystems Diversity , 2019

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Forecasting National People's Salt Production with Time Series Model Using POM-QM for Windows

Roudlotul Badi'ah, Evi Maya Odelia, Rusfian Effendi

The need for salt in Indonesia continues to increase yearly, but the performance of salt production in Indonesia has not been able to meet the targets set in the 2015-2019 KKP strategic plan. This study aims to properly obtain time series forecasting meth... see more

Forecasting | Time Series | Trend Analysis | People's Salt | POM-QM

Jurnal Ilmiah Poli Bisnis , 1980

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COMPARISON OF LINEAR REGRESSIONS AND NEURAL NETWORKS FOR FORECASTING COVID-19 RECOVERED CASES

Tyas Setiyorini, Frieyadie Frieyadie

The emergence of the Covid-19 outbreak for the first time in China killed thousands to millions of people. Since the beginning of the emergence of the number of cases of Covid-19 continues to increase until now. The increase in Covid-19 cases has a very b... see more

Covid-19 | Forecasting | Linear Regression | Neural Network

Jurnal Riset Informatika , 2022

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LSTM-based Multivariate Time-Series Analysis: A Case of Journal Visitors Forecasting Anggie Wahyu Saputra(1); Aji Prasetya Wibawa(2); Utomo Pujianto(3); Agung Bella Putra Utama(4); Andrew Nafalski(5) (1) Universitas Negeri Malang (2) Universitas Negeri Malang (3) Universitas Negeri Malang (4) Universitas Negeri Malang (5) University of South Australia () Corresponding Author

Forecasting is the process of predicting something in the future based on previous patterns. Forecasting will never be 100% accurate because the future has a problem of uncertainty. However, using the right method can make forecasting have a low error rat... see more

Forecasting | Multivariate | Long Short-term Memory | Sessions.

ILKOM Jurnal Ilmiah , 2022

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