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Optimising multi-factor assistance in a deep learning-based electricity forecasting model with climate resilience: an Australian case study.
Weijia Yang
Sarah N. Sparrow
David C. H. Wallom
Published in:
ISGT EUROPE (2023)
Keyphrases
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deep learning
forecasting model
short term
long term
wind power
unsupervised learning
unsupervised feature learning
load forecasting
bp neural network
weakly supervised
data sets
electric power
forecasting accuracy
machine learning
mental models
support vector regression
prediction model
bayesian networks
feature extraction
image segmentation
image processing
neural network
higher order
knn
support vector
electricity markets
wind speed
power generation
computer vision
data mining