Results 1 to 10 of about 33,535 (242)
Forecasting, 2023 Southeast Asia (SEA), known for its diverse climate and broad coastal regions, is particularly vulnerable to the effects of climate change. The purpose of this study is to enhance the spatial resolution of temperature projections over Southeast Asia (SEA)
Teerachai Amnuaylojaroen
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Decomposition of the mean absolute error (MAE) into systematic and unsystematic components.
PLoS ONE, 2023 When evaluating the performance of quantitative models, dimensioned errors often are characterized by sums-of-squares measures such as the mean squared error (MSE) or its square root, the root mean squared error (RMSE).
Scott M Robeson, Cort J Willmott
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Support Vector Machine to Predict Electricity Consumption in the Energy Management Laboratory
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2021 Predicted electricity consumption is needed to perform energy management. Electricity consumption prediction is also very important in the development of intelligent power grids and advanced electrification network information.
Azam Zamhuri Fuadi +2 more
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Energy Reports, 2021 In this research, a new efficient method is introduced for model assessment of Solid Oxide Fuel Cell (SOFC) model using a new hybrid Elman Neural Network (ENN).
Hailong Jia, Bahman Taheri
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IET Signal Processing, 2022 In this work, the authors present an asymptotic high‐dimensional analysis of the regularised zero‐forcing receiver in terms of its mean‐squared error (MSE) and bit error rate (BER) when used for the recovery of binary phase‐shift keying (BPSK) modulated ...
Ayed M. Alrashdi
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Evaluation of Synthetic Small-area Estimators Using Design-based Methods
Austrian Journal of Statistics, 2019 The use of area-specific design-based mean squared error (MSE) to measure the uncertainty associated with synthetic and direct estimators is appealing since the same model-free criterion is applied. However, the small sample size is often a difficulty in
Partha Lahiri, Santanu Pramanik
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Estimations For The Odd Weibull Distribution under Progressive Type-II Right Censored Samples
Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2020 In this study, We introducedperformances Maximum Likelihood (ML) and Bayes estimation under LINEX, GENTROPYand SQUARED loss functions results concerning a progressively type-II censoredsamples for parameters of OddW distribution.
Gülcan Gencer, Kerem Gencer
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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
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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 +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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