Results 51 to 60 of about 467,408 (158)

New adjusted missing value imputation in multiple regression with simple random sampling and rank set sampling methods.

PLoS ONE
This research compared the efficiency of several adjusted missing value imputation methods in multiple regression analysis. The four imputation methods were the following: regression-ratio quartile1,3 (R-RQ1,3) imputation of Al-Omari, Jemain and Ibrahim;
Juthaphorn Sinsomboonthong, Saichon Sinsomboonthong   +1 more
doaj   +1 more source

Vertical wind speed extrapolation using statistical approaches [PDF]

FME Transactions
The wind power industry has experienced a significant increase and popularity in recent times, and the latest statistics indicate that this sector is still thriving.
Nuha Hilal H., Balghonaim Adil, Pahlevi Rizka Reza, Rehman S., Mohandes M.   +4 more
doaj   +1 more source

Aplikasi Triple Exponential Smoothing Untuk Forecasting Jumlah Penduduk Miskin

Jurnal Derivat, 2016
This study aims to predict the number of poor in Indonesia for the next few years using a triple exponential smoothing method. The purpose of this research is the result of the forecast number of poor people in Indonesia accurate forecast results are ...
Padrul Jana
doaj   +1 more source

A short term multistep forecasting model for photovoltaic generation using deep learning model

Sustainable Operations and Computers
Developed countries have substantial investments in renewable energy currently, particularly Photovoltaics (PV), for achieving net-zero emissions. But PV generation is highly volatile and hence achieving supply-demand balance is challenging.
Lakshmi P. Dinesh, Nameer Al Khafaf, Brendan McGrath   +2 more
doaj   +1 more source

Forecasting techniques based on absolute difference for small dataset to predicttheSET Indexin Thailand

Engineering and Applied Science Research, 2018
This research aims to use asimple statistical method asa forecasting model with a small dataset. Absolute difference methods, average absolute difference and minimum absolute difference, were used to adjust the dataset, i.e., the SET Index ...
Watcharin Klongdee, Mathee Pongkitwitoon
doaj   +1 more source

A Comparison of the Predictive Ability of VAR, ARIMA and Artificial Neural Network (ANN) Models: OPEC’s Oil Demand [PDF]

Pizhūhishnāmah-i Iqtiṣād-i Inirzhī-i Īrān, 2012
Awareness of the future oil demand is essential for OPEC member countries to determine priorities and policy selection for achieving economic growth and development.
Mostafa Gorgini, Shahram Golestani, Fatemeh Hajabbasi   +2 more
doaj  

Modeling of the output current of a photovoltaic grid-connected system using random forests technique

Energy Exploration & Exploitation, 2018
This study presents a prediction technique for the output current of a photovoltaic grid-connected system by using random forests technique. Experimental data of a photovoltaic grid-connected system are used to train and validate the proposed model ...
Ibrahim A Ibrahim, Tamer Khatib, Azah Mohamed, Wilfried Elmenreich   +3 more
doaj   +1 more source

Comprehensive deformation study in the new Austrian tunneling technique tunnel utilising artificial neural network model

AiBi Revista de Investigación, Administración e Ingeniería
Ground deformation during tunneling projects is one of the complicated concerns that must be constantly monitored to prevent unanticipated damages and human losses.
Shubham Kanojiya, Gopal Krishna Mehta
doaj   +1 more source

Drawbacks of demand accuracy assessment models on the example of slow-moving spare parts in civil aviation

Aviation
Lots of researchers worldwide use a big variety of forecast models to predict demand. After running the forecast model, researcher always has a question if received prediction was accurate or not.
Danila Larin
doaj   +1 more source

Comparison of Linear Regression and Polynomial Regression for Predicting Rice Prices in Lhokseumawe City

Jurnal Sisfokom
Rice is a strategic food commodity in Indonesia, and its price fluctuations significantly impact inflation, economic stability, and poverty levels. Accurate price prediction is, therefore, essential for effective policymaking.
Muhammad Iqbal, Rozzi Kesuma Dinata, Rizki Suwanda   +2 more
doaj   +1 more source