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 ...
4 days ago , Examples of learning algorithms used in predicting building performance (e.g., energy use, thermal comfort, GHG emissions, cost, etc. ) include ANN [14], [16], ...
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 ...
3 days ago , Radian scaling substantially shortens the training time taken to train the forecasting models compared with the models that use previous normalization methods.
16 hours ago , Short-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, 2024 , In 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, 2024 , Wu examined the better performance of the S-shaped model on pavement performance prediction, comparing with the polynomial and exponential models .
Nov 1, 2024 , 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 30, 2024 , This 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 ...
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