An Integrated Missing-Data Tolerant Model for Probabilistic PV Power Generation Forecasting

Accurate solar photovoltaic (PV) generation forecast is critical to the reliable and economic operation of a modern power system. In practice, due to various faulty issues in the sensor, communication, or database system, the historical and online measurement data may not be always complete, and the...

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Veröffentlicht in:	IEEE transactions on power systems 2022-11, Vol.37 (6), p.4447-4459
Hauptverfasser:	Li, Qiaoqiao, Xu, Yan, Chew, Benjamin Si Hao, Ding, Hongyuan, Zhao, Guopeng
Format:	Artikel
Sprache:	eng
Schlagworte:	Communications systems Economic forecasting Energy management systems Forecasting Long short term memory Missing data missing data imputation Model accuracy Photovoltaic cells photovoltaic power forecasting Photovoltaic systems Power generation Predictive models probabilistic forecasting Probabilistic logic Probability theory Robustness (mathematics) Statistical analysis
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