epicardium
发表于 2025-3-25 06:20:35
Performance Analysis of Data Mining Techniques for Improving the Accuracy of Wind Power Forecast Co within the course of the RITM project. These accuracy improvement studies are within the scope of data mining approaches, Association Rule Mining (ARM), Distance-based approach, Decision Trees and k-Nearest Neighbor (k-NN) classification algorithms and comparative results of the algorithms are presented.
Vo2-Max
发表于 2025-3-25 10:26:15
Imitative Learning for Online Planning in Microgrids, decision-making agent. The empirical performances in terms of Levelized Energy Cost (LEC) of the obtained agent are compared to the expert performances obtained in the case where the scenarios are known in advance. Preliminary results are promising.
Expand
发表于 2025-3-25 14:54:28
Springer Monographs in Mathematics within the course of the RITM project. These accuracy improvement studies are within the scope of data mining approaches, Association Rule Mining (ARM), Distance-based approach, Decision Trees and k-Nearest Neighbor (k-NN) classification algorithms and comparative results of the algorithms are presented.
colloquial
发表于 2025-3-25 19:32:47
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忧伤
发表于 2025-3-25 21:23:34
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轻浮思想
发表于 2025-3-26 01:58:51
Michael Hillard,Richard McIntyregressive baseline and second, by evaluating the models in term of industrial applicability, in close collaboration with domain experts. It appears that the computationally costly regression models fail to significantly beat the baseline.
Concomitant
发表于 2025-3-26 04:52:20
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柔美流畅
发表于 2025-3-26 11:57:38
Classification Cascades of Overlapping Feature Ensembles for Energy Time Series Data,the problem of combined heat and power plant operation schedules and an artificial similarly structured data set. We identify conditions under which the cascade approach shows better results than a classic One-Class-SVM.
Glucocorticoids
发表于 2025-3-26 13:42:01
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Radiculopathy
发表于 2025-3-26 20:20:50
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