A learning framework based on weighted knowledge transfer for holiday load forecasting
Abstract Since the variation pattern of load during holidays is different than that of non-holidays, forecasting holiday load is a challenging task. With a focus on this problem, we propose a learning framework based on weighted knowledge transfer for daily peak load forecasting during holidays. Fir...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2018-09-01
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Series: | Journal of Modern Power Systems and Clean Energy |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1007/s40565-018-0435-z |