Transfer learning with Conformalized Quantile Regression improves solar PV forecasting under load-shedding data scarcity; arXiv study proposes pretraining on Alice Springs data for uncertainty estimates
Read the original at arxiv.org→arXiv:2609.26959v1 Announce Type: new Abstract: Solar photovoltaic (PV) forecasting in regions affected by load shedding is challenging because reliable historical observations are scarce. This study proposes a...
Original headline: "Transfer Learning with Conformalized Quantile Regression for Solar PV Forecasting Under Load-Shedding-Driven Data Scarcity"
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- Sep 24, 04:00 UTC arXiv cs.LG lead source Transfer Learning with Conformalized Quantile Regression for Solar PV Forecasting Under Load-Shedding-Driven Data Scarcity