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

<p>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...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Dabeeruddin Syed (16864260) (author)
مؤلفون آخرون:	Haitham Abu-Rub (16855500) (author), Ali Ghrayeb (16864266) (author), Shady S. Refaat (16864269) (author)
منشور في:	2021
الموضوعات:	Engineering Electrical engineering Information and computing sciences Data management and data science Machine learning Predictive models Load modeling Forecasting Energy consumption Deep learning Data models Long short term memory Appliances energy forecasting Bidirectional LSTM Hybrid model Power forecasting
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