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Vertical wind speed extrapolation using statistical approaches [PDF]
FME TransactionsThe 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. +4 more
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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 +2 more
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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
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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 +5 more
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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 +3 more
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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
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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 +3 more
doaj +1 more source
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 +4 more
openaire +1 more source
Parametric bootstrap mean squared error of a small area multivariate EBLUP
Communications in statistics. Simulation and computation, 2018 This article deals with mean squared error (MSE) estimation of a multivariate empirical best linear unbiased predictor (MEBLUP) under the unit-level multivariate nested-errors regression model for small area estimation via parametric bootstrap.
A. Moretti, N. Shlomo, J. Sakshaug
semanticscholar +1 more source
Accurate Solar Radiation Forecasting Through Feature-Enhanced Decision Trees and Wavelet Decomposition [PDF]
EPJ Web of ConferencesThis study explores the efficacy of the decision tree algorithm in predicting solar power generation, addressing the inherent variability in photovoltaic (PV) energy production due to weather conditions.
Gaizen Soufiane +2 more
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