Household-Level Energy Forecasting in Smart Buildings Using a Novel Hybrid Deep Learning Model

Household-Level Energy Forecasting in Smart Buildings Using a Novel Hybrid Deep Learning Model

Forecasting of energy consumption in Smart Buildings (SB) and using the extracted information to plan and operate power generation are crucial elements of the Smart Grid (SG) energy management. Prediction of electrical loads and scheduling the generation resources to match the demand enable the util...

Full description

Bibliographic Details
Main Authors: Dabeeruddin Syed, Haitham Abu-Rub, Ali Ghrayeb, Shady S. Refaat
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Appliances energy forecasting
bidirectional LSTM
deep learning
hybrid model
power forecasting
Online Access:https://ieeexplore.ieee.org/document/9360813/

Internet

https://ieeexplore.ieee.org/document/9360813/

Similar Items