Effects of Data Standardization on Hyperparameter Optimization with the Grid Search Algorithm Based on Deep Learning: A Case Study of Electric Load Forecasting
This study investigates data standardization methods based on the grid search (GS) algorithm for energy load forecasting, including zero-mean, min-max, max, decimal, sigmoid, softmax, median, and robust, to determine the hyperparameters of deep learning (DL) models. The considered DL models are the...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taiwan Association of Engineering and Technology Innovation
2022-07-01
|
| Series: | Advances in Technology Innovation |
| Subjects: | |
| Online Access: | https://ojs.imeti.org/index.php/AITI/article/view/9227 |