Spatiotemporal Behind-the-Meter Load and PV Power Forecasting via Deep Graph Dictionary Learning

In recent years, with the rapid growth of rooftop photovoltaic (PV) generation in distribution networks, power system operators call for accurate forecasts of the behind-the-meter (BTM) load and PV generation. However, the existing forecasting methodologies are incapable of quantifying such BTM meas...

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Veröffentlicht in:	IEEE transaction on neural networks and learning systems 2021-10, Vol.32 (10), p.4713-4727
Hauptverfasser:	Khodayar, Mahdi, Liu, Guangyi, Wang, Jianhui, Kaynak, Okyay, Khodayar, Mohammad E.
Format:	Artikel
Sprache:	eng
Schlagworte:	Deep learning Dictionaries dictionary learning (DL) Disaggregation Electric power distribution Feature extraction Forecasting Graph theory graphs Hidden Markov models Learning Load modeling Mathematical models net load Optimization photovoltaic (PV) energy Photovoltaic cells Photovoltaics Predictive models Residential areas spatiotemporal forecasting Spatiotemporal phenomena Time series Time series analysis
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