Short-term load forecasting of urban gas using a hybrid model based on improved fruit fly optimization algorithm and support vector machine
The accurate forecasting of short-term load for urban gas is the premise of gas supply sales, pipe network planning, and energy optimization scheduling. This paper adopts a hybrid model that integrates the fruit fly optimization algorithm (FFOA), simulated annealing algorithm (SA), cross factor (CF)...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2019-11-01
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| Series: | Energy Reports |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484719300964 |