A Data-Efficient Building Electricity Load Forecasting Method Based on Maximum Mean Discrepancy and Improved TrAdaBoost Algorithm
Building electricity load forecasting plays an important role in building energy management, peak demand and power grid security. In the past two decades, a large number of data-driven models have been applied to building and larger-scale energy consumption predictions. Although these models have be...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-11-01
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Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/15/23/8780 |