Long-term system load forecasting based on data-driven linear clustering method
Abstract In this paper, a data-driven linear clustering (DLC) method is proposed to solve the long-term system load forecasting problem caused by load fluctuation in some developed cities. A large substation load dataset with annual interval is utilized and firstly preprocessed by the proposed linea...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2017-05-01
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| Series: | Journal of Modern Power Systems and Clean Energy |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1007/s40565-017-0288-x |