Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Sarah Henni"'
Publikováno v:
IET Smart Grid, Vol 7, Iss 2, Pp 172-185 (2024)
Abstract In modern power systems, predicting the time when peak loads will occur is crucial for improving efficiency and minimising the possibility of network sections becoming overloaded. However, most works in the load forecasting field are not foc
Externí odkaz:
https://doaj.org/article/4289589d31284d05b761bff8df672363
Load forecasting for energy communities: a novel LSTM-XGBoost hybrid model based on smart meter data
Publikováno v:
Energy Informatics, Vol 5, Iss S1, Pp 1-21 (2022)
Abstract Accurate day-ahead load forecasting is an important task in smart energy communities, as it enables improved energy management and operation of flexibilities. Smart meter data from individual households within the communities can be used to
Externí odkaz:
https://doaj.org/article/87cc8104e7044e5bb41ffe5cc5f44d8b
Akademický článek
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Publikováno v:
Applied Energy. 333:120531
We introduce a bottom-up modeling framework that allows both the decentral and central planning of an integrated energy system with high shares of renewable generation. We take into account the distribution network structure as well as the changing l
Publikováno v:
Applied Energy. 327:120088
Publikováno v:
Energy and Buildings. 266:112116
Publikováno v:
HICSS
Publikováno v:
Applied Energy. 301:117351
The transition of the energy sector towards more decentral, renewable and digital structures and a higher involvement of local residents as prosumers calls for innovative business models. In this paper, we investigate a sharing economy model that ena
Publikováno v:
Applied Energy. 288:116597
Following the European Union’s emission reduction goals, the expansion of intermittent renewable energy sources is being pursued by numerous member states. This poses challenges especially to low-voltage electricity grids that are not designed for