Sliding window-based LightGBM model for electric load forecasting using anomaly repair

Smart grids have attracted much attention recently for their potential to reduce power system operating and management costs. Smart grid core components include energy storage, renewable energy source(s), and smart meters. Smart meters collect diverse data regarding smart grid operation, which can l...

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Veröffentlicht in:	The Journal of supercomputing 2021-11, Vol.77 (11), p.12857-12878
Hauptverfasser:	Park, Sungwoo, Jung, Seungmin, Jung, Seungwon, Rho, Seungmin, Hwang, Eenjun
Format:	Artikel
Sprache:	eng
Schlagworte:	Abnormalities Anomalies Artificial Intelligence for Smart Cities Compilers Computer Science Electric power systems Electrical loads Energy storage Forecasting Interpreters Mathematical models Processor Architectures Programming Languages Repair Sliding Smart grid Statistical methods
Online-Zugang:	Volltext
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