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Oct 18, 2024This study introduces an advanced mathematical methodology for predicting energy generation and consumption based on temperature variations.
Oct 22, 2024This survey aids readers to summarize and compare the latest predominant researches on electric load forecasting. Besides, it presents the most relevant studies ...
Oct 22, 2024This paper provides a substantial review on the four main ML approaches including artificial neural network, support vector machine, Gaussian-based regressions ...
Oct 21, 2024Wu examined the better performance of the S-shaped model on pavement performance prediction, comparing with the polynomial and exponential models .
Oct 27, 2024This paper analyzes time series forecasting methods applied to thermal systems in Brazil, specifically focusing on diesel consumption as a key determinant.
5 days agoThe hybrid quantum-classical methods that can be used for the prediction of chaotic dynamics and extreme events are inspired by classical machine learning ...
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Oct 22, 2024This study proposes a parallel computing prediction model called IMCAEN (Integrated Multi-Feature Causal Dilated Convolutional Attention Encoder Network) to ...
Oct 23, 2024This study presents a novel hybrid prediction model based on radial basis function neural network (RBFNN) and kernelized support vector regression (KSVR) ...
4 days agoThe least-square regression method was utilized to fit the trial data via exponential, linear, logarithmic, polynomial, and power functions by considering two ...
Oct 11, 2024This paper provides a new approach that can consider some of these additional factors by constructing a polynomial to determine the social graph. We provide an ...