A Short-Term Load Interval Forecasting Method Based on EEMD-SE and PSO-KELM
Accurate load forecasting plays an important role in power system. In recent years, a large number of load forecasting studies show that compared with point forecasting, interval forecasting of load can effectively ensure the safe operation of power system. This paper presents a short-term load inte...
Saved in:
| Main Authors: | Lin ZHANG, Jichun LIU |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
State Grid Energy Research Institute
2021-03-01
|
| Series: | Zhongguo dianli |
| Subjects: | |
| Online Access: | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202001103 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Load Forecasting Based on Multiple Load Features and TCN-GRU Neural Network
by: Haofeng ZHENG, et al.
Published: (2022-11-01) -
Short-Term Load Forecasting Based on Complementary Ensemble Empirical Mode Decomposition and Long Short-Term Memory
by: Huiru ZHAO, et al.
Published: (2020-06-01) -
On forecasting the intraday Bitcoin price using ensemble of variational mode decomposition and generalized additive model
by: Samuel Asante Gyamerah
Published: (2022-03-01) -
An Integrated CEEMDAN to Optimize Deep Long Short-Term Memory Model for Wind Speed Forecasting
by: Yingying He, et al.
Published: (2024-09-01) -
Multi-stage Optimization Forecast of Short-term Power Load Based on VMD and PSO-SVR
by: Wenwu LI, et al.
Published: (2022-08-01)