Comparison Analysis for Electricity Consumption Prediction of Multiple Campus Buildings Using Deep Recurrent Neural Networks

Comparison Analysis for Electricity Consumption Prediction of Multiple Campus Buildings Using Deep Recurrent Neural Networks

As the scale of electricity consumption grows, the peak electricity consumption prediction of campus buildings is essential for effective building energy system management. The selection of an appropriate model is of paramount importance to accurately predict peak electricity consumption of campus b...

Bibliografski detalji
Glavni autori:	Donghun Lee, Jongeun Kim, Suhee Kim, Kwanho Kim
Format:	Članak
Jezik:	English
Izdano:	MDPI AG 2023-12-01
Serija:	Energies
Teme:	smart energy systems building energy management systems energy forecasting deep recurrent neural networks
Online pristup:	https://www.mdpi.com/1996-1073/16/24/8038

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