MASS
发表于 2025-3-21 18:15:48
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神圣在玷污
发表于 2025-3-21 21:24:01
978-3-031-27854-9The Editor(s) (if applicable) and The Author(s) 2023
Anguish
发表于 2025-3-22 01:09:03
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赦免
发表于 2025-3-22 08:18:04
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conflate
发表于 2025-3-22 12:27:59
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慢慢啃
发表于 2025-3-22 13:09:06
Matthew S. Trotter,Gregory D. Durgines forecasts. To develop an appropriate model requires identifying genuine patterns and relationships in the time series data. This requires a detailed investigation and analysis of the data, since selecting the correct input features is, arguably, at least as important as selecting the most appropr
慢慢啃
发表于 2025-3-22 19:37:14
Michael Buettner,David Wetheralling that this is still a very active research area, especially in the developing area of probabilistic load forecasts. Obviously error measures can only be calculated after the actual observations have become available, although in practice forecasts are evaluated on the historical data by splitting
预感
发表于 2025-3-22 23:39:30
Michael Buettner,David Wetherall will show several methods for forecasting the demand. However, although Chap. 7 provided us the tools for measuring the accuracy of a forecast, the following questions remain largely unanswered: .. This chapter will investigate this question by looking at some of the most important aspects for crea
种类
发表于 2025-3-23 02:55:53
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eucalyptus
发表于 2025-3-23 07:12:45
Odd but Interesting Events Near the Sun,dependent variables, be that linear trends, particular seasonalities or autoregressive behaviours. They have performed quite successfully for load forecasting, being quite accurate, even with low amounts of data, and can easily be interpreted by practitioners. However, the methods described in Sect.