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Fuzzy Clustering-Based Deep Learning for Short-Term Load Forecasting in Power Grid Systems Using Time-Varying and Time-Invariant Features.
Kit Yan Chan
Ka Fai Cedric Yiu
Dowon Kim
Ahmed Abu-Siada
Published in:
Sensors (2024)
Keyphrases
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deep learning
unsupervised feature learning
short term load forecasting
grid systems
load forecasting
feature space
co occurrence
power system
mental models
membership functions
weakly supervised
grid computing
artificial intelligence
peer to peer
feature set
fuzzy logic
feature vectors
feature extraction