Research Article
Fuzzy-Swarm Intelligence-Based Short-Term Load Forecasting Model as a Solution to Power Quality Issues Existing in Microgrid System
Table 1
The fuzzy parameter encoding using the particles of PSO.
| | Parameters | Parameters of the fuzzy membership function | Dimensional search space of particles | | | | | | | | | | |
| | Time | xb11 | xc11 | xb12 | xc12 | xb13 | xc13 | xb14 | xc14 | xb15 | xc15 | 10 | | Temperature | xb21 | xc21 | xb22 | xc22 | xb23 | xc23 | | | | | | | ECF | xb31 | xc31 | xb32 | xc32 | xb33 | xc33 | | | | | | | Historical load | xb41 | xc41 | xb42 | xc42 | xb43 | xc43 | xb44 | xc44 | xb45 | xc45 | | | Forecasted load | yb1 | yc1 | yb2 | yc2 | yb3 | yc3 | yb4 | yc4 | yb5 | yc5 | | | Total fuzzy system parameters encoding to run the PSO simulation | 42 |
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