Results 31 to 40 of about 467,408 (158)

Evaluation of load forecasting using different models

Measurement: Energy
This paper addresses a new prediction of load technique that joins the adaptability of RNNs with the capabilities of temporal modelling of Kolmogorov–Arnold Recurrent with good accuracy, because in energy management, load forecasting is essential since ...
Saroj Kumar Panda, Bishwajit Dey
doaj   +1 more source

Cooperative prediction method of gas emission from mining face based on feature selection and machine learning

International Journal of Coal Science & Technology, 2022
Collaborative prediction model of gas emission quantity was built by feature selection and supervised machine learning algorithm to improve the scientific and accurate prediction of gas emission quantity in the mining face.
Jie Zhou, Haifei Lin, Hongwei Jin, Shugang Li, Zhenguo Yan, Shiyin Huang   +5 more
doaj   +1 more source

Comparative Analysis Using Multiple Regression Models for Forecasting Photovoltaic Power Generation

Energies
Effective machine learning regression models are useful toolsets for managing and planning energy in PV grid-connected systems. Machine learning regression models, however, have been crucial in the analysis, forecasting, and prediction of numerous ...
Burhan U Din Abdullah, Shahbaz Ahmad Khanday, Nair Ul Islam, Suman Lata, Hoor Fatima, Sarvar Hussain Nengroo   +5 more
doaj   +1 more source

Modeling Critical Flow through Choke for a Gas-condensate Reservoir Based on Drill Stem Test Data [PDF]

Iranian Journal of Oil & Gas Science and Technology, 2017
Gas-condensate reservoirs contain hydrocarbon fluids with characteristics between oil and gas reservoirs and a high gas-liquid ratio. Due to the large gas-liquid ratio, wellhead choke calculations using the empirical equations such as Gilbert may contain
Ahmad Lak, Reza Azin, Shahriar Osfouri, Rouhollah Fatehi   +3 more
doaj   +1 more source

A note on the Mean Absolute Scaled Error [PDF]

International Journal of Forecasting, 2016
Hyndman and Koehler (2006) recommend that the Mean Absolute Scaled Error (MASE) should become the standard when comparing forecast accuracies. This note supports their claim by showing that the MASE fits nicely within the standard statistical procedures initiated by Diebold and Mariano (1995) for testing equal forecast accuracies.
openaire   +1 more source

COMPARISON OF MISSING VALUE IMPUTATION USING MEAN, BAYESIAN KNN, AND NON-BAYESIAN KNN ON TEP GENE EXPRESSION DATA

Media Statistika
Analysis of gene expression data, particularly in cancer data, often faces challenges due to the presence of missing values. One approach to overcome this is data imputation.
Mastika Mastika, Titin Siswantining, Alhadi Bustamam   +2 more
doaj   +1 more source

Estimation of a probability with guaranteed normalized mean absolute error [PDF]

IEEE Communications Letters, 2009
The estimation of a probability p from repeated Bernoulli trials is considered in this paper. A sequential approach is followed, using a simple stopping rule. A closed-form expression and an upper bound are obtained for the mean absolute error of the unbiased estimator of p.
openaire   +3 more sources

Multi-Objective Transport System Based on Regression Analysis and Genetic Algorithm Using Transport Data

IEEE Access, 2019
Intelligent transportation system (ITS) is a cutting-edge traffic solution employing state-of-the-art information and communication technologies. Optimized bus-scheduling, being an integral part of ITS, ensures safety, efficiency, traffic congestion ...
Moubeen Farooq Khan, Sohail Asghar, Manzoor Illahi Tamimi, Muhammad Asim Noor   +3 more
doaj   +1 more source

Metode Double Exponential Smoothing pada Sistem Peramalan Tingkat Kemiskinan Kabupaten Pangkep

Ilkom 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, Purnawansyah Purnawansyah, Herdianti Darwis   +2 more
doaj   +1 more source

ANALISIS PERFORMANSI SUPPORT VECTOR REGRESSION DALAM MEMPREDIKSI BONUS TAHUNAN KARYAWAN

J@ti Undip: Jurnal Teknik Industri, 2012
Penelitian ini mengaplikasikan support vector regression (SVR) untuk meramalkan bonus tahunan karyawan berdasarkan hasil pengukuran kinerjanya.. Setelah dilakukan running dengan SVR,yang memberikan nilai kesalahan terkecil baik mean square error maupun ...
Diana Puspita Sari
doaj   +1 more source