Optimising multi-factor assistance in a deep learning-based electricity forecasting model with climate resilience: an Australian case study.
Weijia YangSarah N. SparrowDavid C. H. WallomPublished in: ISGT EUROPE (2023)
Keyphrases
- 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