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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 ...
4 days agoExamples of learning algorithms used in predicting building performance (e.g., energy use, thermal comfort, GHG emissions, cost, etc. ) include ANN [14], [16], ...
Oct 22, 2024This paper provides a substantial review on the four main ML approaches including artificial neural network, support vector machine, Gaussian-based regressions ...
3 days agoRadian scaling substantially shortens the training time taken to train the forecasting models compared with the models that use previous normalization methods.
16 hours agoShort-term measurements are then used to create a chiller load model that predicts the year-round variation of the facility's load. Conducting M&V for a chiller ...
Oct 31, 2024In this study, a novel heating degree-days factor (HDDF) is proposed to determine the optimum facade design for buildings in Türkiye as a function of both ...
Oct 21, 2024Wu examined the better performance of the S-shaped model on pavement performance prediction, comparing with the polynomial and exponential models .
Nov 1, 2024The 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 30, 2024This article proposes a new HTSP method based on the adjustable error to deal with the above issue. Detailly speaking, in the essential prediction stage, the ...