STLF-Net: Two-stream deep network for short-term load forecasting in residential buildings

STLF-Net: Two-stream deep network for short-term load forecasting in residential buildings

Developing an appropriate model for accurate prediction of energy consumption is very essential for developing an effective energy management system for residential buildings. In view of this, the Short-term Load Forecasting (STLF) of household appliances has been performing an important role in sup...

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Bibliographic Details
Main Authors: Mohamed Abdel-Basset, Hossam Hawash, Karam Sallam, S.S. Askar, Mohamed Abouhawwash
Format: Article
Language:English
Published: Elsevier 2022-07-01
Series:Journal of King Saud University: Computer and Information Sciences
Subjects:
Deep learning
Residential energy consumption
Load forecasting
Temporal convolutions
Gated recurrent units
Online Access:http://www.sciencedirect.com/science/article/pii/S1319157822001446

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http://www.sciencedirect.com/science/article/pii/S1319157822001446

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