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...

Full description

Bibliographic Details

Published in:	Mathematics and computers in simulation Vol. 224; pp. 63 - 75
Main Authors:	La Tona, G., Luna, M., Di Piazza, M.C.
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.10.2024
Subjects:	Energy management Forecasting LSTM Residential electrical consumption Residential electrical consumption LSTM Forecasting Energy management
ISSN:	0378-4754, 1872-7166
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!