Day-ahead forecasting of residential electric power consumption for energy management using Long Short-Term Memory encoder–decoder model

Energy management in smart buildings and energy communities needs short-term load demand forecasting for optimization-based scheduling, dispatch, and real-time operation. However, producing accurate forecasting for individual residential households is more challenging compared to the forecasting of...

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Veröffentlicht in:	Mathematics and computers in simulation Jg. 224; S. 63 - 75
Hauptverfasser:	La Tona, G., Luna, M., Di Piazza, M.C.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.10.2024
Schlagworte:	Energy management Forecasting LSTM Residential electrical consumption Residential electrical consumption LSTM Forecasting Energy management
ISSN:	0378-4754, 1872-7166
Online-Zugang:	Volltext
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