Results 31 to 40 of about 11,326 (149)

Evaluation of load forecasting using different models

open access: yesMeasurement: 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

A Unified Family of Percentage-Error Support Vector Regression Models with Symmetric Kernel Extensions

open access: yesMathematics
Support vector regression (SVR) is a well-established kernel-based method for nonlinear regression. However, standard SVR formulations minimize absolute-error losses, which are not consistent with the scale-free, relative-accuracy criteria prevalent in ...
Pablo Benavides-Herrera   +3 more
doaj   +1 more source

Error measures for fuzzy linear regression: Monte Carlo simulation approach

open access: yes, 2016
The focus of this study is to use Monte Carlo method in fuzzy linear regression. The purpose of the study is to figure out the appropriate error measures for the estimation of fuzzy linear regression model parameters with Monte Carlo method.
Demirhan, HAYDAR, İÇEN, DUYGU
core   +1 more source

Trend Prediction of Valve Internal Leakage in Thermal Power Plants Based on Improved ARIMA-GARCH

open access: yesEnergies
Accurate trend prediction of valve internal leakage is crucial for the safe and economical operation of thermal power units. To address the issues of prediction lag and insufficient accuracy in existing methods when dealing with the dynamic changes in ...
Ruichun Hou   +5 more
doaj   +1 more source

Kernel Density Estimators for Gaussian Mixture Models

open access: yesLithuanian Journal of Statistics, 2013
The problem of nonparametric estimation of probability density function is considered. The performance of kernel estimators based on various common kernels and a new kernel K (see (14)) with both fixed and adaptive smoothing bandwidth is compared in ...
Tomas Ruzgas, Indrė Drulytė
doaj   +1 more source

Near real-time prediction of urgent care hospital performance metrics using scalable random forest algorithm: A multi-site development

open access: yesHealthcare Analytics, 2023
While previous studies have shown the potential value of predictive modelling for emergency care, few models have been implemented for producing near real-time predictions across various demand, utilisation and performance metrics.
Theresia A. Budiman   +3 more
doaj   +1 more source

Estimated nominal GDP per capita for refugees and migrants from Venezuela.

open access: yes, 2020
The linear model created to generate these estimates is based on the percentage of iOS devices for the host population in each country. Errors bars of 13% were calculated using the symmetric mean absolute percentage error from the training set.
Natalia Adler (8479845)   +7 more
core   +1 more source

Short-Term Residential Load Forecasting Based on Generative Diffusion Models and Attention Mechanisms

open access: yesEnergies
Accurate short-term prediction of residential power consumption is imperative for efficient energy system management. However, the complexity of high-resolution load data, nonlinear dynamics of load fluctuation, and external factor interactions pose ...
Yitao Zhao   +3 more
doaj   +1 more source

Lightweight Generative Network for Image Inpainting Using Feature Contrast Enhancement

open access: yesIEEE Access, 2022
With the help of the convolutional neural network (CNN) and generative adversarial network (GAN), image inpainting has achieved remarkable advances in performance.
Qihui Han, Jie Liu, Cheolkon Jung
doaj   +1 more source

Time Series Forecasting of Price of Agricultural Products Using Hybrid Methods

open access: yesApplied Artificial Intelligence, 2021
Accurate prediction of crop prices assists farmers to decide the best time to sell their produce so as to get maximum benefit and assists Government for post-harvest storage and management of the produce so as to stabilize the price volatility throughout
Sourav Kumar Purohit   +3 more
doaj   +1 more source

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