Embedding based quantile regression neural network for probabilistic load forecasting

Embedding based quantile regression neural network for probabilistic load forecasting

Abstract Compared to traditional point load forecasting, probabilistic load forecasting (PLF) has great significance in advanced system scheduling and planning with higher reliability. Medium term probabilistic load forecasting with a resolution to an hour has turned out to be practical especially i...

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Bibliographic Details
Main Authors: Dahua GAN, Yi WANG, Shuo YANG, Chongqing KANG
Format: Article
Language:English
Published: IEEE 2018-02-01
Series:Journal of Modern Power Systems and Clean Energy
Subjects:
Probabilistic load forecasting
Feature embedding
Artificial neural network
Quantile regression
Machine learning
Online Access:http://link.springer.com/article/10.1007/s40565-018-0380-x

Internet

http://link.springer.com/article/10.1007/s40565-018-0380-x

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