Online short-term load forecasting methods using hybrids of single multiplicative neuron model, particle swarm optimization variants and nonlinear filters
Short-term load (STL) forecasting plays a significant role in modern power system management. Improving the accuracy of STL forecasting is helpful for power enterprises to design reasonable operation planning, thus improving the economic and social benefits of the system. Hybrid methods consisted of...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2021-11-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484721000317 |