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Published in 2020 at "International Journal of Forecasting"
DOI: 10.1016/j.ijforecast.2020.10.007
Abstract: Abstract The increasing penetration of intermittent renewable energy in power systems brings operational challenges. One way of supporting them is by enhancing the predictability of renewables through accurate forecasting. Convolutional Neural Networks (Convnets) provide a…
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Keywords:
spatio temporal;
forecasting convolutional;
convolutional model;
temporal wind ... See more keywords
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Published in 2024 at "IEEE Transactions on Sustainable Energy"
DOI: 10.1109/tste.2024.3389023
Abstract: Spatial-temporal wind power prediction is of enormous importance to the grid-connected operation of multiple wind farms in the wind power system. However, most of the conventional methods are usually limited to predicting an individual wind…
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Keywords:
wind;
temporal wind;
time;
wind power ... See more keywords