A new strategy for power monitoring data collection based on data mining and its role in improving prediction accuracy
Junpeng Zhao(Chinese Academy of Medical Sciences & Peking Union Medical College), Yangrui Zhang(State Grid Corporation of China (China)), Yajie Zhang(Tianjin University), Hongying Wang(State Grid Corporation of China (China))
Cited by 0
Related Papers
A Multilevel Scheduling Framework for Distributed Time-domain Large-area Sky Survey Telescope Array
|The Astronomical Journal|2023|14
Ultra-short-term/short-term wind power continuous prediction based on fuzzy clustering analysis
|Unknown|2012|7
Kilonova Constraints for the LIGO/Virgo/KAGRA Neutron Star Merger Candidate S250206dm: GW-MMADS Observations
|The Astrophysical Journal Letters|2025|7
HLC2: a highly efficient cross-matching framework for large astronomical catalogues on heterogeneous computing environments
|Monthly Notices of the Royal Astronomical Society|2023|4
GRRIS: A Real-time Intrasite Observation Scheduling Scheme for Distributed Survey Telescope Arrays
|The Astronomical Journal|2024|3