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Titlebook: Energy Informatics; Third Energy Informa Bo N?rregaard J?rgensen,Luiz Carlos Pereira da Sil Conference proceedings 2024 The Editor(s) (if a

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樓主: bradycardia
31#
發(fā)表于 2025-3-26 21:00:32 | 只看該作者
32#
發(fā)表于 2025-3-27 04:44:47 | 只看該作者
0302-9743 inas, Brazil, in December 2023. The 39 full papers together with 8 short papers included in these volumes were carefully reviewed and selected from 53 submissions. .The conference focuses on the application of digital technology and information management to facilitate the global transition towards
33#
發(fā)表于 2025-3-27 07:24:13 | 只看該作者
Multi-agent Based Simulation for Investigating Electric Vehicle Adoption and Its Impacts on Electric to the energy system, and to what extent it contributes to achieving climate goals remains unknown. Static modeling and assumption-based simulations have been used for such investigation, but they cannot capture the realistic ecosystem dynamics. To fill the gap, this paper investigates the impacts
34#
發(fā)表于 2025-3-27 11:26:02 | 只看該作者
Brazilian Utilities’ Invoice Data Understanding: Extraction, Data Standardization and?Consumption OvIn this scenario, one aspect that requires analysis is the consumption data that can be retrieve into the monthly utility invoices. However, the analysis of utility invoices in Brazil poses an unique challenge due to variations in invoice document formats across different services, utilities and con
35#
發(fā)表于 2025-3-27 16:58:15 | 只看該作者
Distributed Energy Resources and EV Charging Stations Expansion Planning for Grid-Connected Microgris socioeconomic scenario of increasing changes and environmental concerns, microgrids (MGs) play an important role in integrating distributed energy resources. Thus, a planning strategy for grid-connected MGs with distributed energy resources and electric vehicle (EV) charging stations is proposed i
36#
發(fā)表于 2025-3-27 17:47:11 | 只看該作者
37#
發(fā)表于 2025-3-27 23:19:25 | 只看該作者
38#
發(fā)表于 2025-3-28 03:55:45 | 只看該作者
Computational Approaches for Green Computing of Energy Consumption Forecasting on Non-working Periodgy costs take advantage of machine learning algorithms to predict how much energy should be bought and sold in the market ahead of time. Some researchers take account green computing approaches to reduce the energy cost spent in forecasting roles and ensure the environmental sustainability of comput
39#
發(fā)表于 2025-3-28 07:21:10 | 只看該作者
Gossen’s First Law in?the?Modeling for?Demand Side Management: A First Heat Pump Case Studyion of a good or service and this is observed in various areas. This paper proposes the hypothesis that Gossen’s First Law also holds in the modeling for Demand Side Management. It motivates the exploration of how the utility of a model depends on its complexity in this context, in order to provide
40#
發(fā)表于 2025-3-28 12:59:22 | 只看該作者
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