Results 51 to 60 of about 2,392,377 (346)

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

PREDIKSI JUMLAH PENERIMAAN SISWA SMK SWASTA TAHUN AJARAN 2011/2012 [PDF]

, 2012
Penelitian ini bertujuan untuk mengetahui prediksi jumlah siswa Sekolah Menengah Kejuruan (SMK) swasta modern di sebuah propinsi di Kalimanatan dengan pendekatan enam metode forecasting yaitu Linear Regression, Exponential Smoothing With Trend ...
Sarjono, Haryadi
core   +2 more sources

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

Root mean square error (RMSE) or mean absolute error (MAE)

, 2014
Both the root mean square error (RMSE) and the mean absolute error (MAE) are regularly employed in model evaluation studies. Willmott and Matsuura(2005) have suggested that the RMSE is not a good indicator of average model performance and might be a ...
T. Chai, R. Draxler
semanticscholar   +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

Spectral Index of the Diffuse Radio Background Measured From 100 to 200 MHz [PDF]

, 2008
The mean absolute brightness temperature of the diffuse radio background was measured as a function of frequency in a continuous band between 100 and 200 MHz over an effective solid angle of ~pi str at high Galactic latitude.
Alan E. E. Rogers, Andrew, Bowman, Bridle, de Oliveira-Costa, Haslam, Judd D. Bowman, Lawson, Little, Platania, Purton, Reich, Reich, Sironi, Suh, Turtle, Webster   +16 more
core   +2 more sources

The anti‐CRISPR protein AcrIE8.1 inhibits the type I‐E CRISPR‐Cas system by directly binding to the Cascade subunit Cas11

FEBS Letters, EarlyView.
In this study, we present the structure of AcrIE8.1, a previously uncharacterized anti‐CRISPR protein that inhibits the type I‐E CRISPR‐Cas system. Through a combination of structural and biochemical analyses, we demonstrate that AcrIE8.1 directly binds to the Cas11 subunit of the Cascade complex to inhibit the CRISPR‐Cas system.
Young Woo Kang, Hyun Ho Park
wiley   +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

Malaysia tourism demand forecasting using box-jenkins approach [PDF]

, 2018
Tourism industry in Malaysia is crucial and has contributes a huge part in Malaysia’s economic growth. The capability of forecasting field in tourism industry can assist people who work in tourism-related-business to make a correct judgment and plan ...
Abd Latif, Amirah, Awang, Noor Azura, Basri, Hatijah, Muhamad Zamri, Ain Zamira, Muhammad, Nur Ainnaa Mardhiah, Nik Mahmud, Nik Noor Haryatul Eleena, Zalkepali, Noor Ummi Hazirah Hani   +6 more
core   +1 more source