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