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Deep Learning Applied on Renewable Energy Forecasting Towards Supply-Demand Matching.
Abdulaziz Almalaq
Aymen Alshammarry
Bader Al-Anzi
Fahad Alharbi
Mohammed Alshudukhi
Published in:
ICMLA (2021)
Keyphrases
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deep learning
renewable energy
wind power
electricity markets
solar energy
unsupervised learning
unsupervised feature learning
feature extraction
multiscale
object recognition
power consumption
support vector regression
forecasting model
wind speed
electric vehicle charging