Deep Learning-Based Short-Term Load Forecasting Approach in Smart Grid With Clustering and Consumption Pattern Recognition.
Dabeeruddin SyedHaitham Abu-RubAli GhrayebShady S. RefaatMahdi HouchatiOthmane BouhaliSantiago Bañales LopezPublished in: IEEE Access (2021)
Keyphrases
- deep learning
- smart grid
- short term load forecasting
- power system
- pattern recognition
- unsupervised learning
- load forecasting
- machine learning
- clustering algorithm
- computer vision
- clustering method
- advanced metering infrastructure
- neural network
- communication networks
- information security
- dimensionality reduction
- mental models
- k means
- image processing
- computational intelligence
- supervised learning
- data collection
- artificial intelligence
- smart card
- object recognition
- fuzzy clustering
- network security
- communication systems
- weakly supervised
- information systems
- high dimensional