Load forecasting model consisting of data mining based orthogonal greedy algorithm and long short-term memory network
To reduce the waste of electricity, load forecasting is essential for power scheduling and system management. However, when the external environment experiences unexpected changes, most of the existing load forecasting models have no capability to adjust the predicted values, accordingly. Therefore,...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-08-01
|
| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484722003572 |