This is a useful dataset to train and test Machine Learning forecasting algorithms and compare results with the official forecast from weekly pre-dispatch reports. The following considerations should
For long-term time series forecasting, there are eight well-established benchmarks for comprehensive comparison, including: Electricity Transformer Temperature (ETT) (1-hour level subsets ETTh1 and ET
The building of life stress, well expressed by the concept allostatic load, plays an important part in all phases of endocrine illness. Allostatic load refers to the cumulative burden of both stressfu
Dimensionality Reduction (DR) is key machine learning technique used to convert data from higher dimensional space to lower dimensionality space in order to build a predictive machine learning models
