Maolin He

ORCID: 0000-0002-1017-9724
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About
Contact & Profiles
Research Areas
  • Energy Load and Power Forecasting
  • Stock Market Forecasting Methods
  • Complex Systems and Time Series Analysis
  • Machine Fault Diagnosis Techniques
  • Machine Learning and ELM
  • Neural Networks and Applications
  • Grey System Theory Applications
  • Financial Markets and Investment Strategies

Nanjing University of Information Science and Technology
2022-2023

Wind power has great potential in the fields of electricity generation, heating, et cetera, and precise forecasting wind speed become key task an effort to improve efficiency energy development. Nowadays, many existing studies have investigated prediction, but they often simply preprocess raw data also ignore nonlinear features residual part, which should be given special treatment for more accurate forecasting. Meanwhile, mainstream this field is point prediction cannot show uncertainty...

10.3390/atmos14020395 article EN cc-by Atmosphere 2023-02-17
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