Multivariate time series prediction by RNN architectures for energy consumption forecasting

Multivariate time series prediction by RNN architectures for energy consumption forecasting

Households and buildings have been utilizing the traditional electric network structure for the last decade, relying on energy supplied by manufacturing centers based on fossil fuels. Large energy use places a burden on such centers. In this perspective, smart grids are a new technology and a new ge...

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Bibliographic Details
Main Authors: Ibtissam Amalou, Naoual Mouhni, Abdelmounaim Abdali
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:Energy Reports
Subjects:
Deep Learning
RNN architectures
Energy forecasting
Smart grids
Time series data
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484722013932

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http://www.sciencedirect.com/science/article/pii/S2352484722013932

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