Electricity load forecasting using advanced feature selection and optimal deep learning model for the variable refrigerant flow systems
The control optimization of a variable refrigerant flow (VRF) system requires an accurate electricity load forecast because VRF systems have a wide range of energy consumption owing to part load ratios. Currently, the empirical gray and black-box models are widely used for electricity load forecasti...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2020-11-01
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| Series: | Energy Reports |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484720313317 |