Results 21 to 30 of about 302,002 (276)

Strategies for predictive power: Machine learning models in city-scale load forecasting

e-Prime: Advances in Electrical Engineering, Electronics and Energy, 2023
This study focuses on enhancing machine learning (ML) algorithms' performance in predicting daily loads for Kirkuk, Iraq—an essential element in energy planning, resource allocation, and policymaking.
Orhan Nooruldeen, Mohammed Rashad Baker, A.M. Aleesa, Ahmed Ghareeb, Ehab Hashim Shaker   +4 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

Bayesian Estimation of the Exponentiated Fréchet Distribution Parameters [PDF]

The Egyptian Statistical Journal, 2021
This article discusses the Bayesian estimators of the parameters of Exponentiated Fréchet distribution under squared error loss function, elative error loss function and LINEX loss function using the non-informative and uniform priors. The performance of
Amel Abd-El-Monem
doaj   +1 more source

PRAKIRAAN CURAH HUJAN KECAMATAN KAIRATU KABUPATEN SERAM BAGIAN BARAT DENGAN MODEL AUTOREGRESIVE INTEGRATED MOVING AVERAGE (ARIMA)

Barekeng, 2007
Forecasting is an activity to use the past data as the basic to predict the future event that will occur. The result from the prediction is an un-sure event or just a guess, but with some certain methods then the prediction will be more than a guess, it ...
Grace Loupatty
doaj   +1 more source

RELATIVE RISK ANALYSIS OF THE SPREAD OF COVID-19 VIRUS IN MEDAN CITY BY SPATIAL AND NON-SPATIAL APPROACHES

Zero: Jurnal Sains, Matematika, dan Terapan, 2023
The city of Medan is the city with the highest cases of COVID-19 virus among cities in North Sumatra. This study was conducted to analyze the relative risk level for the spread of the COVID-19 virus.
Yurid Audina, Rina Filia Sari, Rina Widyasari   +2 more
doaj   +1 more source

An Effective Rainfall–Ponding Multi-Step Prediction Model Based on LSTM for Urban Waterlogging Points

Applied Sciences, 2022
With the change in global climate and environment, the prevalence of extreme rainstorms and flood disasters has increased, causing serious economic and property losses. Therefore, accurate and rapid prediction of waterlogging has become an urgent problem
Yongzhi Liu, Wenting Zhang, Ying Yan, Zhixuan Li, Yulin Xia, Shuhong Song   +5 more
doaj   +1 more source

Comparison of Maximum Likelihood and some Bayes Estimators for Maxwell Distribution based on Non-informative Priors

مجلة بغداد للعلوم, 2013
In this paper, Bayes estimators of the parameter of Maxwell distribution have been derived along with maximum likelihood estimator. The non-informative priors; Jeffreys and the extension of Jeffreys prior information has been considered under two ...
Baghdad Science Journal
doaj   +1 more source

Forecasting Wind Energy Production Using Machine Learning Techniques [PDF]

E3S Web of Conferences, 2023
Wind energy is an essential source of renewable energy that has gained popularity in recent years. Accurately forecasting wind energy production is crucial for efficient energy management and distribution.
Margarat G. Simi, Kumar C. Siva, Rajan Surulivel, B. Raj Mohan   +3 more
doaj   +1 more source

K-means method with linear search algorithm to reduce Means Square Error (MSE) within data clustering

IOP Conference Series: Materials Science and Engineering, 2018
K-means method is limited in identifying and grouping the data by characteristics similarity in clustering. This study develops K-Means method with LSA to fix the issue of objectivity in data clustering as compared to K-Means method used lately. Data variables used are study load (credits) and study period (semester) of students in two academic years ...
S Sriadhi, S Gultom, M Martiano, R Rahim, D Abdullah   +4 more
openaire   +1 more source

ACCRUED FORECASTING ON TOURIST’S ARRIVAL IN BANGLADESH FOR SUSTAINABLE DEVELOPMENT [PDF]

Geo Journal of Tourism and Geosites, 2021
Forecasting of potential tourists’ appearance could assume a critical role in the tourism industry, arranging at all levels in both the private and public sectors.
Sayed Mohibul HOSSEN, Mohd Tahir ISMAIL, Mosab I. TABASH, Ahmed ABOUSAMAK   +3 more
doaj   +1 more source