Federated Learning based Energy Demand Prediction with Clustered Aggregation

To reduce negative environmental impacts, power stations and energy grids need to optimize the resources required for power production. Thus, predicting the energy consumption of clients is becoming an important part of every energy management system. Energy usage information collected by the client...

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Veröffentlicht in:	International Conference on Big Data and Smart Computing S. 164 - 167
Hauptverfasser:	Tun, Ye Lin, Thar, Kyi, Thwal, Chu Myaet, Hong, Choong Seon
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.01.2021
Schlagworte:	clustering Collaborative work Computational modeling Convergence Data models Distributed databases energy federated learning long short-term memory recurrent neural network Servers Training
ISSN:	2375-9356
Online-Zugang:	Volltext
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