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Titlebook: Big Data in Energy Economics; Hui Liu,Nikolaos Nikitas,Rui Yang Book 2022 Science Press 2022 Energy Economy.Big Data Analysis.Time Series

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樓主: Colossal
21#
發(fā)表于 2025-3-25 03:57:40 | 只看該作者
22#
發(fā)表于 2025-3-25 11:18:00 | 只看該作者
Shelene Gentz,Mónica Ruiz-Casaress and the role of big data in it. Then the concept, significance, and key technologies of the energy internet are described. Big data analysis techniques in the field of energy economics such as data pre-processing, time series forecasting, and non-intrusive load identification are presented. Common
23#
發(fā)表于 2025-3-25 14:11:01 | 只看該作者
24#
發(fā)表于 2025-3-25 18:20:01 | 只看該作者
African Marriages in Transformationect the country‘s investment, consumption, import and export, and overall economic development. This chapter introduces the important role of coal in the field of energy economics and analyzes the factors that influence coal price fluctuations. Then, through correlation analysis, this chapter select
25#
發(fā)表于 2025-3-25 20:42:33 | 只看該作者
26#
發(fā)表于 2025-3-26 00:48:05 | 只看該作者
27#
發(fā)表于 2025-3-26 06:28:50 | 只看該作者
28#
發(fā)表于 2025-3-26 10:13:24 | 只看該作者
Genetic Algorithm Optimization in C/C++,sion reduction are closely related to the sustainable development of the urban economy. Load identification technology is one of the core technical difficulties to be solved in realizing the overall layout planning of the smart power grid. Statistics show that with the information provided by the no
29#
發(fā)表于 2025-3-26 14:15:36 | 只看該作者
Claude-Jean Allègre,Gil Michardn efficiency, optimizing consumption patterns, and cutting emissions, has become an inevitable choice for countries around the world to promote sustainable economic development. This chapter summarizes the effective practices of developed countries in promoting clean energy transformation. Combined
30#
發(fā)表于 2025-3-26 19:26:18 | 只看該作者
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