paroxysm 发表于 2025-3-26 21:21:02

Book 2020gital twin of SG (business model, operational model, fault/transient model, and asset model), and to the application domain (demand side management, load monitoring, micro grids, energy consulting (residents, utilities), energy saving, dynamic pricing revenue management and smart meters, etc.)..

epicardium 发表于 2025-3-27 01:25:54

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Alienated 发表于 2025-3-27 07:38:45

https://doi.org/10.1007/978-3-030-42726-9digitalization in energy transition; AI for energy transition; AI for Smart Energy Management; AI for C

使长胖 发表于 2025-3-27 10:59:14

978-3-030-42728-3Springer Nature Switzerland AG 2020

Incorruptible 发表于 2025-3-27 16:01:20

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葡萄糖 发表于 2025-3-27 19:13:55

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GULF 发表于 2025-3-28 00:36:16

https://doi.org/10.1007/978-3-030-52105-9. It focuses on the use of artificial intelligence (AI) techniques and tools in order to address these challenges allowing to enhance the energy efficiency of traditional/renewable power generators through user participation, to facilitate the penetration (integration) of distributed/centralized ren

Arb853 发表于 2025-3-28 03:10:23

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GORGE 发表于 2025-3-28 09:39:18

https://doi.org/10.1007/978-1-84996-223-0Electrification of heat and transport, as well as decarbonization through efficiency improvements and distributed energy resources is paving the way for a more sustainable built environment. Today, in many parts of the world, favourable policy regimes and technological advances are further accelerat

BOAST 发表于 2025-3-28 13:22:42

Research Practices in Digital Designibility and electricity. Benefits from this transition range from improved power distribution to reduced dependency on the system. Buildings hold an essential role in the success of the paradigm. They need to be able to adopt flexible consumption patterns and to support the demands from the system.
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查看完整版本: Titlebook: Artificial Intelligence Techniques for a Scalable Energy Transition; Advanced Methods, Di Moamar Sayed-Mouchaweh Book 2020 Springer Nature