Forecast of Community Total Electric Load and HVAC Component Disaggregation through a New LSTM-Based Method

Forecast of Community Total Electric Load and HVAC Component Disaggregation through a New LSTM-Based Method

The forecast and estimation of total electric power demand of a residential community, its baseload, and its heating ventilation and air-conditioning (HVAC) power component, which represents a very large portion of a community electricity usage, are important enablers for optimal energy controls and...

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Bibliographic Details
Main Authors: Alden, R.E (Author), Gong, H. (Author), Ionel, D.M (Author), Patrick, A. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Air conditioning
air-conditioning
baseload
Base-loads
Behavioral research
big data
Big data
community power
Community power
Conditioning systems
Cooling systems
disaggregation
Disaggregation
distribution power system
Distribution power systems
electric load forecasting
Electric load forecasting
Electric power transmission networks
Electric power utilization
heating
Heating ventilation and air conditioning
Heating ventilation and air-conditioning system power
Housing
HVAC system power
Long short-term memory
LSTM
machine learning
NILM
Power
smart grid
Smart grid
smart meter
Smart meters
Smart power grids
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