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...

وصف كامل

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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