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Titlebook: Symposium on Ordinary Differential Equations; Minneapolis, Minneso William A. Harris,Yasutaka Sibuya Conference proceedings 1973 Springer-V

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發(fā)表于 2025-3-25 03:29:56 | 只看該作者
Lecture Notes in Mathematicshttp://image.papertrans.cn/t/image/884053.jpg
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發(fā)表于 2025-3-26 00:39:40 | 只看該作者
H. E. GollwitzerA on the base electricity tariff, considering the economic and environmental factors are analyse in this study. System Dynamics modelling is used in order to model the MESI framework. This study aims to provide insights for policymakers, regulators, and stakeholders in the electricity industry to op
27#
發(fā)表于 2025-3-26 07:56:45 | 只看該作者
28#
發(fā)表于 2025-3-26 08:45:11 | 只看該作者
W. A. Harris Jr.m-temperature applications. Solar radiation available at Ichalkaranji has been around 8 h for about 325?days of the year. Five hours of heat required by 220 boilers of different capacities have been proposed to substitute using a solar CPC system. A total of 124057 MT could save fuel annually and ca
29#
發(fā)表于 2025-3-26 15:51:11 | 只看該作者
P. F. Hsiehdwork for improving Cell Thermal Management Systems. This advancement contributes significantly to the ongoing development of electric vehicle technology, ensuring better control and optimization of cell temperatures for enhanced performance and safety.
30#
發(fā)表于 2025-3-26 17:04:23 | 只看該作者
W. S. Loudand curve is flattened. To optimize the demand scheduling, the accurate energy usage pattern of the consumers is essential. This is where the demand forecasting comes into play. This chapter investigates how effectively the machine learning algorithms can forecast the electricity demand to facilitat
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