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Published in 2018 at "Solar Energy"
DOI: 10.1016/j.solener.2018.06.100
Abstract: Abstract The photovoltaic (PV) generation forecast is a key element to an efficient building energy management system (EMS) operation. The forecast’s uncertainties and generation variabilities expose the loads to misplanning, and hence decrease building autonomy,…
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Keywords:
generation forecast;
day ahead;
energy management;
generation ... See more keywords
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Published in 2018 at "IEEE Transactions on Industry Applications"
DOI: 10.1109/ias.2017.8101715
Abstract: Wind generation forecast approaches are typically based on fixed model structures, which might fit well with existing data but fall short in forecasting out-of-sample data. The reason lies in that predetermined models cannot always capture…
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Keywords:
generation forecast;
wind generation;
generation;
ultra short ... See more keywords
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Published in 2021 at "IEEE Transactions on Smart Grid"
DOI: 10.1109/tsg.2020.3021578
Abstract: This letter proposes a robust ensemble learning scheme to enhance short-term prediction of wind power generation. The ensemble problem associated with pruning and combination is formulated as a worst-case robust approximation problem, taking forecast uncertainty…
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Keywords:
ensemble learning;
robust ensemble;
wind generation;
generation forecast ... See more keywords
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Published in 2018 at "Atmosphere"
DOI: 10.3390/atmos9120462
Abstract: On 8–9 October 2017, fourteen wildfires developed rapidly during a strong Diablo wind event in northern California including the Tubbs Fire, which travelled over 19 km in 3.25 h. Here, we applied the CAWFE® coupled…
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Keywords:
generation forecast;
extreme winds;
tubbs fire;
forecast extreme ... See more keywords