构想
发表于 2025-3-27 00:16:35
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多产鱼
发表于 2025-3-27 03:41:51
https://doi.org/10.1007/978-1-349-20327-7del is firstly established on the stage of a long-term prediction, and the scheduling solution is also optimized later. Furthermore, the results of the scheduling system applications also indicate the effectiveness of the real-time prediction and scheduling optimization.
报复
发表于 2025-3-27 06:06:14
Jun Zhao,Wei Wang,Chunyang ShengFeatures data-driven modeling algorithms for different industrial prediction requirements.Discusses multi-scale (short, median, long) prediction, multi-type prediction (time series and factor-based),
捏造
发表于 2025-3-27 09:34:10
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旧式步枪
发表于 2025-3-27 14:53:20
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放牧
发表于 2025-3-27 18:34:16
Conceptual elements regarding qualityemployed to construct a prediction model, given that such data are always mixed with high level noise, missing points, and outliers due to the possible real-time database malfunction, data transformation, or maintenance. Thereby, the data preprocessing techniques have to be implemented, which usuall
opportune
发表于 2025-3-27 23:17:17
https://doi.org/10.1007/978-3-658-28867-9dden behind the time series data of the variables by means of auto-regression. In this chapter we introduce the phase space reconstruction technique, which aims to construct the training dataset for modeling, and then a series of data-driven machine learning methods are provided for time series pred
上釉彩
发表于 2025-3-28 03:34:19
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RAFF
发表于 2025-3-28 08:36:19
Interval System of Linear Equations, but also the reliability of the prediction results indicated by an interval. Reviewing the conventional PIs construction methods (e.g., delta method, mean and variance-based estimation method, Bayesian method, and bootstrap technique), we provide some recently developed approaches in this chapter.
landmark
发表于 2025-3-28 11:45:21
Fuzzy Differentiation and Integrationuidance for equipment control, operational scheduling, and decision-making. This chapter firstly introduces the basic principles of granularity partition, and a long-term prediction model for time series and factor-based prediction are developed in this chapter. In terms of time series prediction, t